Explore 5 backend python software engineer jobs from 2 hiring companies in Flint, MI, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Backend Python Software Engineer

Burton

Beecher

Grand Blanc

Flushing

Fenton

Waterford

Swartz Creek

Davison

Saginaw

Pontiac

West Bloomfield Township

Auburn Hills

Rochester Hills

Lapeer

Lake Fenton

Saginaw Township North

Troy

Farmington Hills

Novi

Backend Python Software Engineer Jobs

General Motors

Faurecia

Hybrid

Onsite

Job DescriptionThe RoleThe Energy Cloud Platform is a highly scalable, secure cloud platform in production today that connects vehicles, utilities, markets, and IoT systems to enable smart charging, bidirectional energy (V2H/V2G), and data-driven energy services. As part of the Cloud Platform &amp; Smart Charging team, you will help ensure our services remain reliable, observable, and ready to support mission-critical energy programs at scale.We are looking for a Senior Backend Software Engineer – Site Reliability (SRE) to lead reliability, performance, and operational excellence for the Energy Cloud platform, while also contributing directly to backend services and platform capabilities. In this role, you will combine strong backend software engineering skills with SRE practices to:<ul><li>Design and evolve production-ready, observable services</li><li>Build and improve CI/CD, infrastructure, and automation</li><li>Lead incident response, post-incident reviews, and reliability improvements</li><li>Partner closely with product engineering, data, and cloud platform teams</li></ul>This is a senior individual contributor role: you will drive cross-team initiatives, set reliability patterns others adopt, and mentor engineers across the organization. You will also spend meaningful time on backend feature and platform development, and the role is well-suited for someone who wants to deepen both SRE and software engineering skills.What You’ll Do:Reliability &amp; Operations<ul><li>Own and improve reliability for key Energy Cloud services that power electric grid programs, V2H/V2G pilots, and enrollment/operations experiences.</li><li>Define and maintain SLOs/SLIs (latency, error rate, availability) and partner with engineering and product to ensure they reflect real customer and business needs.</li><li>Lead rollout and continuous improvement of production observability (e.g., Datadog or similar): metrics, logs, traces, dashboards, and alerting across services.</li><li>Implement and enforce Production Readiness Reviews (PRR) and reliability scorecards so that every new service, integration, and major feature meets our reliability bar before going live.</li><li>Drive incident management: participate in and often lead on-call/incident response, perform root-cause analysis, and ensure post-incident actions are prioritized and completed.</li></ul>Software Engineering &amp; Automation<ul><li>Design and implement robust, well-tested backend services and automation to improve system reliability, performance, and data integrity (e.g., telemetry ingestion pipelines, charging session data flows, enrollment workflows).</li><li>Build and evolve CI/CD pipelines (e.g., GitHub Actions) to support blue/green or similar deployment strategies, automated rollbacks, and high-confidence releases.</li><li>Design and validate disaster recovery and continuity patterns (backups, cross-region failover, runbooks, simulation drills) for critical platform components.</li><li>Partner with data engineering and platform teams to ensure data ingestion, storage, and processing patterns support reliability, scalability, and monitoring requirements.</li></ul>Cross-Team Leadership<ul><li>Lead cross-team reliability initiatives that improve how multiple Energy Cloud and related services are built, deployed, and operated.</li><li>Define and socialize standard patterns for observability, CI/CD, performance testing, and data quality that other teams can adopt.</li><li>Create clear technical documentation: runbooks, design docs, PRR checklists, SLO definitions, and reliability playbooks that make complex systems operable by others.</li><li>Mentor engineers (SWE, DevOps, SRE, data) on reliability best practices, debugging techniques, and operational excellence.</li></ul>Your Skills &amp; Abilities (Required Qualifications):<ul><li>Bachelor’s degree in Computer Science, Software Engineering, Electrical/Computer Engineering or related field, or equivalent practical experience.</li><li>8&#43; years of experience in software engineering, DevOps, or SRE roles, including:<ul><li>Designing, building, and operating backend or platform services in production.</li><li>Hands-on experience with at least one major cloud provider (Azure, GCP, or AWS).</li></ul></li><li>Strong programming skills in one or more languages (e.g., Python, C#, Java, Go) and experience writing production-grade services and automation.</li><li>Demonstrated experience with observability and monitoring (e.g., Datadog, Prometheus, Grafana, OpenTelemetry) and implementing meaningful metrics and alerts.</li><li>Experience with CI/CD pipelines (e.g., GitHub Actions, Azure DevOps, Jenkins) including automated testing, deployment strategies, and rollback patterns.</li><li>Proven track record owning or co-owning on-call, incident response, and post-incident improvement work for production systems.</li><li>Ability to lead cross-functional technical efforts, influence without direct authority, and communicate clearly with engineering, product, and operations stakeholders.</li></ul>What Will Give You A Competitive Edge (Preferred Qualifications):<ul><li>Experience in energy, utilities, EV charging, or large-scale IoT platforms.</li><li>Experience with data platforms (e.g., Snowflake, Databricks, or similar) and designing reliable data ingestion and processing pipelines.</li><li>Deep familiarity with SRE principles: error budgets, capacity planning, resilience testing, chaos engineering, and production game days.</li><li>Experience designing disaster recovery strategies and running DR drills in collaboration with product and infrastructure teams.</li><li>Experience implementing security and compliance practices (e.g., secrets management, vulnerability remediation, secure pipelines) in partnership with security and cloud platform teams.</li><li>Demonstrated success mentoring other engineers and raising the bar for reliability and operational excellence across multiple teams.</li></ul>#LI-SB3&amp;#xa;&amp;#xa;GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).&amp;#xa;&amp;#xa;This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.&amp;#xa;&amp;#xa;This job may be eligible for relocation benefits.&amp;#xa;&amp;#xa;About GMOur vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.Benefits OverviewFrom day one, we&#39;re looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting <a target="_blank" href="https://search-careers.gm.com/en/working-at-gm/total-rewards">Total Rewards resources</a>.Non-Discrimination and Equal Employment Opportunities (U.S.)General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit <a target="_blank" href="https://search-careers.gm.com/en/how-we-hire">How we Hire</a>.AccommodationsGeneral Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, <a target="_blank" href="mailto:Careers.Accommodations&#64;GM.com">email</a> us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Senior Backend Software Engineer/SRE - GM Energy

Senior Backend Software Engineer/SRE

8+ years in software/devOps/SRE with backend services, cloud (Azure/GCP/AWS), Python/C#/Java/Go, observability, CI/CD, on-call experience, cross-functional collaboration.

Job DescriptionAt General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.  Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.The RoleWe’re looking for a Staff Software Engineer – Full Stack to lead the design and delivery of end-to-end software systems that power internal platforms, simulation tools, and data-driven applications across GM. The ideal candidate is passionate about building world-class software, has a proven track record in scalable enterprise software, and thrives in collaborative environments. Strong software engineering fundamentals, great communication skills and experience in engineering best practices for highly scalable, reliable services.<div></div>What You’ll Do<ul><li>Own end-to-end architecture for complex systems: backend services, APIs, front-end applications, data flows, and integrations.</li><li>Design and implement full-stack features (frontend &#43; backend) that support internal users such as simulation engineers, robotics teams, and manufacturing stakeholders.</li><li>Build scalable, backend services (e.g., microservices, event-driven systems) with strong reliability, security, and observability.</li><li>Demonstrated experience building and operating distributed systems in production - event-driven architectures, message brokers, service decomposition, and the operational realities of running them</li><li>Collaborate with product, platform, and domain teams to translate requirements into clear architectural designs, technical roadmaps, and implementation plans.</li><li>Define and champion coding standards, testing strategies, and CI/CD practices to raise the bar on code quality and delivery speed.</li><li>Conduct design and code reviews, provide technical guidance, and mentor engineers across multiple teams.</li><li>Evaluate and introduce modern technologies and frameworks where they add clear value (performance, developer experience, scalability).</li></ul><div></div>What You Bring<ul><li>Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or related field; MS/PhD or equivalent experience preferred.</li><li>8&#43; years of professional software engineering experience, including significant full-stack and architectural responsibilities.</li><li>Strong proficiency in at least one backend language (e.g., C#, Java, , C&#43;&#43;, Python) and one frontend framework (e.g., React, Angular, Vue).</li><li>Proven experience designing and operating distributed systems (microservices, containers, orchestration, APIs, messaging), with the broader stack: GraphQL, gRPC, PostreSQL, Docker, and Kubernetes</li><li>Solid understanding of system design, scalability, performance, and security trade-offs.</li><li>Strong communication and collaboration skills; ability to influence technical direction across teams and clearly articulate architectural decisions.</li></ul>Nice to Have<ul><li>Experience building tools or platforms for simulation, robotics, manufacturing, or data/ML workflows.</li><li>Experience Integrating with enterprise systems (e.g., telemetry/IoT, PLM/CAD, MES, analytics platforms) to keep digital twins up to date, synchronized, and interactive. </li><li>Experience building Maps backends and graph databases</li><li>Familiarity with event streaming, service meshes, and advanced observability (tracing, metrics, logs).</li><li>Track record of technical leadership: driving architecture, mentoring engineers, and shaping engineering culture.</li></ul>&amp;#xa;&amp;#xa;&amp;#xa;&amp;#xa;About GMOur vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.Benefits OverviewFrom day one, we&#39;re looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting <a target="_blank" href="https://search-careers.gm.com/en/working-at-gm/total-rewards">Total Rewards resources</a>.Non-Discrimination and Equal Employment Opportunities (U.S.)General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit <a target="_blank" href="https://search-careers.gm.com/en/how-we-hire">How we Hire</a>.AccommodationsGeneral Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, <a target="_blank" href="mailto:Careers.Accommodations&#64;GM.com">email</a> us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Staff Software Engineer - Full Stack

8+ years software engineering, full-stack and architectural experience; backend + frontend skills; distributed systems; CI/CD; collaboration.

Job DescriptionWork Arrangement:Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Milford, Michigan or Warren, Michigan three times per week, at minimum.Our Mission:At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.The Role:Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.The Testable Functionality Rollout Plan (TFRP) is GM’s framework for rolling out software and hardware functionality with confidence. TFRP connects functional intent, requirements, software, hardware, tests, and results into a single, traceable story so engineering teams can see exactly what changed, what was validated, and how stable a function is at any point in its lifecycle. Organizations such as Mechatronics uses TFRP to plan and time their work, understand issues quickly, and help triage and drive fixes overnight. Our mission is to turn complex test and configuration data into clear, actionable insight that accelerates feature delivery and drives data-driven decisions across the vehicle ecosystem.We are looking for a TFRP Data Engineer – Software Developer to build the backbone of this visibility: a traceable gold-source data lake and visualization layer. In this role, you will ensure that all data describing software–hardware connections, configurations, tests, and outcomes is centralized, modeled, and exposed through intuitive dashboards and applications. Your work will create the single source of truth that powers end-to-end traceability, enables engineers to quickly understand impact and coverage, and gives leaders a real-time view of functional readiness and stability across programs.What You&#39;ll Do:Full Stack application UI &amp; backend services &amp; integrations<ul><li>Develop and maintain backend APIs/services in Python (e.g., Flask/FastAPI) that provide structured access to processed test data and failure summaries.</li><li>Code and provide requirements for scalable UI &amp; reporting initiatives utilizing React web application and both relational and graph database capabilities.</li><li>Integrate with upstream systems (test infrastructure, CI pipelines, file/object storage) and downstream consumers (internal web apps, reporting tools).</li><li>Implement robust error handling, logging, metrics, and tracing so incidents are visible and diagnosable without guesswork.</li></ul>Support analytics &amp; reporting<ul><li>Partner with data analysts and engineering stakeholders to shape the semantic layer (tables, views, measures) that powers Power BI and other reporting tools.</li><li>Ensure nightly refreshes are predictable, well‑monitored, and clearly communicated to stakeholders.</li><li>Help simplify complex test/log data into intuitive, stable data models that engineers can easily query and build on.</li></ul>Technical leadership &amp; mentoring<ul><li>Serve as the technical point of contact for the automated test analytics platform and its nightly processing — including incident response and root‑cause analysis.</li><li>Drive engineering standards for code quality, testing, documentation, and reviews across data and backend components.</li><li>Mentor engineers and analysts on Databricks, data modeling, and backend best practices, enabling the broader team to contribute safely and effectively.</li><li>Provide requirements, documentation, training videos, training classes, and message board technical support and RCA.</li><li>Provide Support for users on technical support on dashboard related issues.</li><li>Model and foster GM’s Core Values and Winning behaviors </li></ul>Your Skills &amp; Abilities (Required Qualifications):<ul><li>Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Engineering, or a related field.</li><li>7&#43; years of professional experience in software and/or data engineering.</li><li>Strong hands‑on experience with Databricks or similar Spark‑based platforms, including:</li><li>Building production ETL/ELT pipelines in PySpark.</li><li>Working with Delta Lake (or equivalent) for large‑scale data storage and querying.</li><li>Proficiency in Python for both data processing and backend service development.</li><li>Proficiency in React web stack and typescript.</li><li>Strong SQL and data modeling skills; experience designing schemas and tuning queries for performance at scale.</li><li>Experience building and operating backend services/APIs (e.g., Flask, FastAPI, Django, or similar).</li><li>Proven track record of owning critical batch or nightly pipelines, including monitoring, alerting, and incident management.</li><li>Strong communication skills and ability to work directly with cross‑functional partners (engineers, analysts, product leads).</li></ul>What Will Give You A Competitive Edge (Preferred Qualifications):<ul><li>Master’s degree in Computer Science, Software Engineering, Data Engineering, Engineering, or a related field.</li><li>10&#43; years of professional experience in software and/or data engineering.</li><li>Strong skills connecting end user UI with application integration and data source schema alignment.</li><li>SQL Power user with additional experience in graph database querying (cypher/ graphQL) and neo4j.</li><li>Deep experience with Databricks deployment tooling (e.g., dbx), CI/CD pipelines, and multi‑environment management.</li><li>Prior work with automated test infrastructures, CI/CD systems, or large‑scale log/telemetry processing.</li><li>Strong experience with Power BI (or similar BI tools), including data modeling, DAX, and performance optimization.</li><li>Familiarity with Microsoft Azure (e.g., Data Lake, Key Vault, Data Factory, Event Hubs/Service Bus).</li><li>Background in automotive, embedded systems, diagnostics, or other safety‑critical domains where test quality and rapid root‑cause analysis are essential.</li></ul>Company Vehicle:Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.  Benefits:  GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation &amp; holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.   Relocation:  This job may be eligible for relocation benefits.&amp;#xa;&amp;#xa;&amp;#xa;&amp;#xa;About GMOur vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.Benefits OverviewFrom day one, we&#39;re looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting <a target="_blank" href="https://search-careers.gm.com/en/working-at-gm/total-rewards">Total Rewards resources</a>.Non-Discrimination and Equal Employment Opportunities (U.S.)General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit <a target="_blank" href="https://search-careers.gm.com/en/how-we-hire">How we Hire</a>.AccommodationsGeneral Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, <a target="_blank" href="mailto:Careers.Accommodations&#64;GM.com">email</a> us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Staff Data Engineer – Testable Functionality Rollout Plan

Data Engineer

7+ years in software and/or data engineering; strong Databricks, PySpark, Python, SQL, and React experience; backend and data modeling skills.

Job DescriptionAbout the Team:The ML Inference Platform is part of the AV ML Infrastructure organization. Our team owns the cloud-agnostic, reliable, and cost-efficient platform that powers GM’s AI efforts. We’re proud to serve teams developing autonomous vehicles (L3/L4/L5), as well as other groups building AI-driven products for GM and its customers. We enable rapid innovation and feature development by optimizing for high-priority, ML-centric use cases. Our platform supports the serving of state-of-the-art (SOTA) machine learning models for experimental, online and bulk inference, with a focus on performance, availability, concurrency, and scalability. We’re committed to maximizing GPU utilization across platforms (B200, H100, A100, and more) while maintaining reliability and cost efficiency.About the Role:We are seeking a Senior ML Infrastructure engineer to help build and scale robust platforms for ML Inference workflows. In this role, you’ll work closely with ML engineers and researchers to ensure efficient model serving and inference in production, for workflows such as data mining, labeling, model distillation, evaluations, simulations and more. This is a high-impact opportunity to influence the future of AI infrastructure at GM. You will play a key role in shaping the architecture, roadmap and user-experience of a robust ML inference service supporting real-time, batch, and experimental inference needs. The ideal candidate brings experience in designing distributed systems for ML, strong problem-solving skills, and a product mindset focused on platform usability and reliability.What you’ll be doing:<ul><li>Design and implement core platform backend software components.</li><li>Collaborate with ML engineers and researchers to understand critical workflows, parse them to platform requirements, and deliver incremental value.</li><li>Lead technical decision-making on model serving strategies, orchestration, caching, model versioning, and auto-scaling mechanisms for highly optimized use of accelerators.</li><li>Drive the development of monitoring, observability, and metrics to ensure reliability, performance, and resource optimization of inference services.</li><li>Proactively research and integrate state-of-the-art model serving frameworks, hardware accelerators, and distributed computing techniques.</li><li>Lead technical initiatives across GM’s ML ecosystem.</li><li>Raise the engineering bar through technical leadership, establishing best practices.</li><li>Contribute to open source projects; represent GM in relevant communities.</li></ul>Minimum Requirements <ul><li>5&#43; years of industry experience, with focus on machine learning systems or high performance backend services.</li><li>Expertise in either Python, C&#43;&#43; or other relevant coding languages.</li><li>Expertise in ML inference, model serving frameworks (triton, rayserve, vLLM etc).</li><li>Strong communication skills and a proven ability to drive cross-functional initiatives.</li><li>Ability to thrive in a dynamic, multi-tasking environment with ever-evolving priorities.</li></ul>Preferred Qualifications<ul><li>Deep expertise building zero-to-one ML infrastructure platforms.</li><li>Experience working with or designing interfaces, apis and clients for ML workflows.</li><li>Experience with Ray framework, and/or vLLM.</li><li>Experience with distributed systems, and handling large-scale data processing.</li><li>Familiarity with telemetry, and other feedback loops to inform product improvements.</li><li>Familiarity with hardware acceleration (GPUs) and optimizations for inference workloads.</li></ul>Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.   <ul><li>The salary range for this role is $155,420 to $395,900. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.  </li></ul><ul><li>Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. </li></ul><ul><li>Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation &amp; holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.  </li></ul>Benefits:  <ul><li>Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation &amp; holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.  </li></ul>Relocation: This job may be eligible for relocation benefits.  Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Mountain View, you are expected to report to that location three times a week, at minimum. &amp;#xa;&amp;#xa;&amp;#xa;&amp;#xa;About GMOur vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.Benefits OverviewFrom day one, we&#39;re looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting <a target="_blank" href="https://search-careers.gm.com/en/working-at-gm/total-rewards">Total Rewards resources</a>.Non-Discrimination and Equal Employment Opportunities (U.S.)General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit <a target="_blank" href="https://search-careers.gm.com/en/how-we-hire">How we Hire</a>.AccommodationsGeneral Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, <a target="_blank" href="mailto:Careers.Accommodations&#64;GM.com">email</a> us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Senior ML Infrastructure Engineer, Inference Platform

ML Infrastructure Engineer

5+ years in ML systems or high-performance backend services; Python/C++; ML inference/model serving frameworks; strong cross-functional collaboration; adaptable in a fast-paced environment.

FORVIA, des technologies automobiles durables pour une mobilité intelligente

<div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Forvia, a sustainable mobility technology leader</H2></div><div>We pioneer technology for mobility experience that matter to people.</div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Your mission, roles and responsibilities</H2></div><div>Role Summary The Software Engineer will play a critical role in our development team, working on a variety of projects that span the spectrum from computer vision applications to generative AI models. This position requires a strong understanding of both frontend and backend development practices, as well as proficiency in multiple programming languages. The ideal candidate will be a versatile engineer who can navigate complex software development landscapes, delivering robust solutions that meet our high standards of quality and innovation. Key Responsibilities •    Design, develop, and maintain software solutions that support various automotive technology projects, including but not limited to computer vision and generative AI applications. •    Collaborate with cross-functional teams to define software requirements, system architecture, and integration strategies. •    Write clean, efficient, and maintainable code across the full stack, ensuring high performance and responsiveness of applications, ensuring high levels of quality and reliability •    Develop and implement frontend interfaces using JavaScript and related frameworks, ensuring an intuitive and user-friendly experience. •    Build and maintain backend services and APIs in Python, Java, Node, or similar languages, ensuring scalability and security. •    Leverage Azure Cloud services for deploying and managing applications, optimizing for performance and cost. •    Implement DevOps strategies, including continuous integration and continuous deployment (CI/CD), to streamline development workflows and enhance product quality. •    Stay up-to-date with emerging trends and technologies in software development, continuously improving skills and adopting best practices.</div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Your profile and competencies to succeed</H2></div><div>Requirements •    Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. •    Strong proficiency in multiple programming languages, including .NET, Python, JavaScript, and Node.js. C++ and or Rust would also be a plus. •    Experience with frontend development using modern JavaScript frameworks (e.g., Next js) and backend development practices. •    Proven experience with Azure Cloud services, including application deployment, configuration, and management. •    Solid understanding of DevOps principles and experience with CI/CD pipelines, automation tools (such as Terraform, Ansible or Azure Resource Manager), and containerization technologies (e.g., Docker, Kubernetes). •    Knowledge of software development methodologies and best practices, with a strong focus on code quality, security, and performance. •    Excellent problem-solving skills, with the ability to think critically and develop innovative solutions to complex technical challenges. •    Strong communication and collaboration skills, with the ability to work effectively in a team-oriented environment. •    Knowledge in micro-services software architecture and principles. •    Familiarity with design patterns. •    Familiarity with agile methodologies.</div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">What we can do for you</H2></div><div><ul>
	<li>At Forvia, you will find an engaging and dynamic environment where you can contribute to the development of sustainable mobility leading technologies.  </li>
	<li>We are the seventh-largest global automotive supplier, employing more than 157,000 people in more than 40 countries which makes a lot of opportunity for career development. </li>
	<li>We welcome energetic and agile people who can thrive in a fast-changing environment. People who share our strong values. Team players with a collaborative mindset and a passion to deliver high standards for our clients. Lifelong learners. High performers. Globally minded people who aspire to work in a transforming industry, where excellence, speed, and quality count. </li>
	<li>We cultivate a learning environment, dedicating tools and resources to ensure we remain at the forefront of mobility.  Our people enjoy an average of more than 22 hours of online and in-person training within FORVIA University (five campuses around the world) </li>
	<li>We offer a multicultural environment that values diversity and international collaboration. We believe that diversity is a strength. To create an inclusive culture where all forms of diversity create real value for the company, we have adopted gender diversity targets and inclusion action plans. </li>
	<li>Achieving CO2 Net Zero as a pioneer of the automotive industry is a priority: In June 2022, Forvia became the first global automotive group to be certified with the new SBTI Net-Zero Standard (the most ambitious standard of SBTi), aligned with the ambition of the 2015 Paris Agreement of limiting global warming to 1.5°C. Three principles guide our action: use less, use better and use longer, with a focus on recyclability and circular economy. </li>
</ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Why join us</H2></div><div>FORVIA is an automotive technology group at the heart of smarter and more sustainable mobility. We bring together expertise in electronics, clean mobility, lighting, interiors, seating, and lifecycle solutions to drive change in the automotive industry.

With a history stretching back more than a century, we are the 7th largest global automotive supplier, employing more than 157,000 people in 43 countries. You'll find our technology in around 1 out of 2 vehicles produced anywhere in the world.

In June 2022, we became the 1st global automotive group to be certified with the SBTI Net-Zero Standard. We have committed to reach CO2 Net Zero by no later than 2045.

As technological innovation and the need for sustainability transform the automotive industry, we are ideally positioned to deliver solutions that will enhance the lives of road-users everywhere. 
 </div></div></div>

Software Engineer (AUBURN HILLS HQ R&D, MI, US)

Software Engineer

BS/MS in Computer Science or Engineering; proficient in .NET, Python, JavaScript, Node.js; experience with frontend and backend; Azure cloud; CI/CD; Docker/Kubernetes; Terraform/Ansible; microservices; Agile; strong problem-solving and collaboration.

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