Explore 4 python software engineer jobs from 3 hiring companies in Manson, WA, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Python Software Engineer

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Python Software Engineer Jobs

Microsoft

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Overview <div dir="ltr">Microsoft 365 Enterprise Copilot was launched to support a fundamental shift in how people work, grow their careers, and find meaning in the workplace. As organizations navigate economic, demographic, societal, and AI‑driven change, expectations around engagement, productivity, and impact continue to evolve. People want clarity, connection, and tools that help them do their best work.Workforce Insights (WFI) is a core analytics and insights agentic experience within Microsoft 365 Copilot. It helps organizations understand workforce patterns, trends, and signals across work, collaboration, and organizational data. By providing trusted insights into who is in the organization, how teams are structured, and where people are located, WFI enables leaders, managers, and HR partners to make informed, data‑driven decisions that support planning, organizational effectiveness, and scale.We are a highly collaborative engineering team with strong ownership and accountability. Engineers work closely across Microsoft 365 to integrate with shared people and organizational data platforms, translating complex, ambiguous problems into scalable, high‑impact solutions. This role requires navigating the rapidly evolving Copilot and LLM landscape, partnering deeply with product managers, and collaborating across teams—including contributing to shared codebases—to deliver durable, customer‑focused platform capabilities.We operate with an AI‑first engineering mindset. Engineers are encouraged to actively adopt and apply AI in their day‑to‑day work to improve productivity, accelerate development, and simplify engineering workflows. At the same time, the team is expected to apply sound engineering judgment—building intelligent, trustworthy systems while raising the technical bar for how AI‑powered experiences are designed, built, and operated at scale. We are looking for a Senior Software Engineer to join our team. This position is based at the Redmond campus with 3 days per week work in the office and 2 days per week work from home. Relocation assistance is available.Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</div> Responsibilities <ul><li>Take ownership of evolving a production‑scale, AI‑powered experience—expanding scenarios, integrations, and platform capabilities to meet new customer needs and increase adoption.</li><li>Operate at the intersection of agentic AI, large‑scale analytics, and modern cloud platforms, influencing technical direction while delivering reliable enterprise‑grade solution.</li></ul> Qualifications Required Qualifications: <ul><li>Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python<ul><li>OR equivalent experience. </li></ul></li></ul><div dir="ltr">Other Requirements:Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.<div dir="ltr">Preferred Qualifications<ul><li>3+ years of professional software engineering experience with full-stack understanding of distributed systems and microservices architectures.</li><li>3+ years of experience in design, coding, rapid prototyping, debugging, and problem-solving.</li><li>Solid understanding of distributed systems and microservices architectures, including building and operating multi‑tenant, enterprise‑scale services.</li><li>Experience working with large‑scale data and analytics platforms, including ingestion, aggregation, and serving of high‑cardinality organizational or people data.</li><li>Proven ability to deliver cross‑platform, full-stack, and cross‑service integrations, particularly in environments with shared platforms and dependencies.</li><li>Comfortable navigating ambiguity and driving clarity in cross‑group scenarios, with experience collaborating across product, platform, and engineering teams.</li><li>Demonstrated focus on customer trust, reliability, and quality, especially in data‑driven or insights‑based experiences.</li><li>Familiarity with AI‑powered systems, including LLM‑based experiences or Copilot integrations, is a solid plus.</li><li>Experience contributing to or operating within shared codebases and platforms, balancing local ownership with platform‑level impact.</li></ul>#DPG #DPGHiring</div></div> Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: <a href="https://careers.microsoft.com/us/en/us-corporate-pay">https://careers.microsoft.com/us/en/us-corporate-pay</a> This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. <hr> Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about <a href="https://careers.microsoft.com/v2/global/en/accessibility.html">requesting accommodations.</a>

Senior Software Engineer

Bachelor's in CS/related field and 4+ years engineering experience; proficiency in C/C++/C#/Java/JavaScript/Python; security screening required.

Overview Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. The Opportunity Conditional Access is the real-time Zero Trust policy engine at the heart of Microsoft Entra ID. Every sign-in, every token, every agent request across Microsoft's identity platform flows through the system you'll shape. We're evolving CA from a human-centric access control layer into a universal policy engine for users, workloads, and AI agents — and we need a Principal Engineer to drive that architectural transformation. You'll own the technical vision for how Conditional Access scales to meet the next generation of identity: autonomous agents, continuous authorization, data-plane enforcement, and policy portability across authentication and runtime boundaries. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. #MSFTSecurity, #IDENTITY  Responsibilities <ul><li> What You'll Do Define the architecture for Conditional Access at identity-platform scale</li><li>Own the technical strategy for the CA evaluation engine — today processing millions of policy evaluations per second inside ESTS with sub-millisecond latency budgets</li><li>Design the next-generation policy model: portable, data-driven policies that evaluate at token-time and at the data plane (GSA, MISE, resource providers)</li><li>Drive convergence of token-time CA and Continuous Access Evaluation into a unified enforcement architecture</li><li>Lead the CA-for-Agents technical vision</li><li>Architect how CA evaluates agent identities as first-class actors — spanning OBO, S2S, CUA, and agentic chaining scenarios</li><li>Drive cross-org technical alignment  Partner with Identity Protection, Defender, Intune, Graph, GSA, and Azure networking to integrate risk signals, device posture, and network context into CA evaluation </li><li>Represent CA engineering in cross-IDNA architecture reviews, security design reviews, and partner alignment forums </li><li> Influence the ESTS roadmap for protocol-level changes required for agent governance (FIC, token exchange, CAE for OBO) Raise the engineering bar</li><li>Set standards for safe rollout of policy evaluation changes in a Tier 0 service — feature flags, canary-first deployment, blast-radius analysis</li><li>Drive testability and validation strategy: policy correctness proofs, synthetic tenant replay, and agent-driven test automation</li><li>Mentor senior engineers across the CA and ESTS stack; build the technical bench for the team's next chapter</li></ul>OtherEmbody our <a href="https://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.microsoft.com%2Fen-us%2Fabout%2Fcorporate-values&amp;data=05%7C02%7CSue.Reynolds%40microsoft.com%7C42a03d5ff3a645ce0e5a08dc240e88c1%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C638424892051600147%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&amp;sdata=ntPtohITgyuIiDqJM7FreuxPZliW7G7oYeRXhZojEaw%3D&amp;reserved=0" target="_blank" rel="noopener">Culture </a>and <a href="https://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcareers.microsoft.com%2Fus%2Fen%2Fculture&amp;data=05%7C02%7CSue.Reynolds%40microsoft.com%7C42a03d5ff3a645ce0e5a08dc240e88c1%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C638424892051608402%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&amp;sdata=Vu0llitcymcXuM%2BSxYJ9yxg8mznlVJpdY3hJP2zvW1o%3D&amp;reserved=0" target="_blank" rel="noopener">Values</a> Qualifications Required/minimum qualifications<div>Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</div>Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: <ul><li>Deep expertise in distributed systems, high-performance runtime engines, or policy/rules engines operating at extreme scale</li><li>Strong background in identity, authentication, authorization, or security infrastructure — you understand OAuth2/OIDC, token semantics, and Zero Trust principles </li><li>Fluency in C# and large-scale .NET service development; experience with ESTS or equivalent identity platforms is a strong plus Architectural leadership</li><li>Track record of defining and driving multi-year technical strategies that span teams and organizations -</li><li>Ability to make pragmatic tradeoffs between architectural purity and shipping velocity — you know when to invest in the long-term and when to ship the 80% solution</li><li>Experience designing systems that evolve incrementally under production load with zero downtime  </li></ul> Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: <a href="https://careers.microsoft.com/us/en/us-corporate-pay">https://careers.microsoft.com/us/en/us-corporate-pay</a> This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. <hr> Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about <a href="https://careers.microsoft.com/v2/global/en/accessibility.html">requesting accommodations.</a>

Principal Software Engineer

Bachelor's degree in computer science or related field plus 6+ years engineering experience; strong coding skills in C, C++, C#, Java, JavaScript, or Python; security background a plus.

NVIDIA&#39;s GPUs are at the core of modern AI infrastructure, from training large-scale models to running inference in production. That position depends on software as much as hardware, and compiler engineering is a big part of what makes it work.We are looking for outstanding AI Research Engineer /Applied Scientist focused on Compilers /Low-level optimization to join the team and develop groundbreaking technologies in machine learning compilers and AI systems. We build innovative AI compiler solutions that work together with NVIDIA&#39;s software stack to provide comprehensive acceleration for modern machine learning models.What you&#39;ll be doing:<ul><li>Help trailblaze company efforts in applying AI within conventional compilation pipelines.</li><li>Design and implement AI-based technology addressing core problems of low-level GPU programming.</li><li>Build training pipelines for supervised fine-tuning and reinforcement learning (RL/RLHF-style or policy optimization variants).</li><li>Define model inputs/outputs over compiler low level compiler representations.</li><li>Develop evaluation frameworks to measure code quality, runtime, compile-time overhead, and correctness.</li><li>Intelligent (domain&#96; task based) prompt engineering.</li><li>Collaborate with compiler engineers to integrate learned policies into production toolchains.</li><li>Prototype and iterate on model architectures, prompts, and fine-tuning strategies for scheduling and allocation tasks.</li><li>Create datasets from compiler traces, optimization passes, and target-specific performance signals.</li><li>Apply RL techniques to optimize for downstream objectives (performance, spill reduction, instruction-level parallelism, etc.) and run rigorous experiments, ablations, and benchmarking across workloads and hardware targets.</li></ul>What we need to see:<ul><li>M.S./PhD degree in Computer Engineering, Computer Science related technical field (or equivalent experience).</li><li>5&#43; years of experience building AI/ML systems.</li><li>Strong software engineering skills in Python and at least one systems language (C&#43;&#43; preferred).</li><li>Hands-on experience training/fine-tuning large models (Transformers, PEFT/LoRA, distributed training).</li><li>Solid understanding of machine learning fundamentals and experimentation best practices.</li><li>Experience with reinforcement learning (e.g., policy gradients, actor-critic, offline RL, bandit-style optimization).</li><li>Knowledge of prompt-engineering techniques</li><li>Ability to work across research and engineering, from prototype to production.</li></ul>Ways to stand out from the crowd:<ul><li>Distributed training/inference at scale.</li><li>Experience working with the NVIDIA NeMo framework.</li><li>Understanding of GPU performance, experience with benchmarking suites and performance profiling tools.</li><li>Formal methods or static analysis familiarity for correctness guarantees.</li><li>CUDA programming experience.</li></ul>With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you&#39;re a creative and autonomous program manager with a real passion for technology, we want to hear from you.Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.<div><div><div><div><div><div><div>You will also be eligible for equity and <a href="https://www.nvidia.com/en-us/benefits/" target="_blank">benefits</a>.</div></div></div></div></div></div></div>Applications for this job will be accepted at least until April 26, 2026.This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

AI Research Engineer - Applied Scientist Compilers

AI Research Engineer

MS/PhD in computer engineering or computer science; 5+ years building AI/ML systems; strong Python and at least one systems language (C++ preferred); hands-on experience with training/fine-tuning large models; ML fundamentals; RL experience; prompt engineering; ability to bridge research and production.

Job Description<div>About the Mission </div><div>GM’s vision of Zero Crashes, Zero Emissions, and Zero Congestion guides everything we do in autonomous and assisted driving. The AV organization is building advanced automated driving technologies, including Level 4–capable fully self-driving systems, to move us toward safer, more sustainable, and more accessible mobility. </div><div>For the AI Kernels &amp; Compilers team, that mission shows up in the details: turning cutting‑edge perception, prediction, and planning research into production‑grade software that can run efficiently and reliably on real vehicles at scale. We pioneer new approaches to model export, kernel development, and performance engineering so that every cycle on our accelerators translates into better situational awareness, faster reaction times, and more robust behavior on the road. </div><div>If you want your compiler and kernels work to directly influence how automated vehicles understand and react to the world — while operating at the safety, reliability and scale of a company like GM — this is where that impact becomes real. </div><div>About the Team </div><div>The AI Compiler team sits at the heart of how advanced AI models make it onto the car. We own the compiler that turns high‑level models into fast, reliable inference across GPUs powering GM’s next‑generation autonomous and assisted driving features. </div><div>Our work spans graph lowering, operator coverage, kernel integration, and deployment tooling, with a mandate to squeeze every millisecond out of on‑vehicle workloads while preserving correctness and robustness in real‑world conditions. We partner closely with AI Deployments, AI Solutions, Runtime, and AI Kernels teams to co‑design a platform that enables new ideas in research to be quickly and safely shipped to production fleets. </div><div>You’ll join a group of deep compiler, systems, and GPU engineers who enjoy working on hard problems, and diving into MLIR/ONNX and CUDA/TensorRT internals. We value clear thinking, strong engineering fundamentals, and a culture where people can do the best work of their careers on problems that directly shape the future of automated driving. </div><div>The Role</div><div>As a Senior Compiler Engineer on the AI Kernels &amp; Compilers team, you will work on the compilation stack that takes high‑level models and turns them into highly optimized inference artifacts running on GM’s autonomous and assisted driving platforms. You’ll be a key contributor to a pipeline and tooling that makes that path fast, reliable, and effortless for ML engineers across the AV organization to compile their models. </div><div>You will work on an evolving a state-of-the-art model export and compilation pipeline—from capturing high‑level model graphs, through intermediate representations and compiler transforms, into accelerator‑specific inference engines and their integration with our runtime— so that we can simultaneously optimize compilation throughput, model fidelity, and on‑vehicle latency. Along the way, you’ll build robust tooling to validate numerical correctness, detect and bisect performance regressions, and surface clear, actionable diagnostics back to model authors. </div><div>If you want to work at the intersection of compilers, performance engineering, and real‑world autonomy, this role puts your decisions directly on the critical path of what runs on the car. </div><div>What you’ll be doing (Responsibilities)  </div><div><div><ul><li>Build and evolve the model compilation toolchain used to deploy large‑scale perception, prediction, and planning models to the AV. </li></ul></div><div><ul><li>Architect new compiler passes and analysis that improve build times, memory footprint, and runtime latency while preserving—or intentionally trading off—fidelity under strict safety and reliability constraints. </li></ul></div><div><ul><li>Collaborate closely with kernels, runtime, and hardware teams to co‑design interfaces, shape accelerator capabilities, and ensure the compiler exposes the right abstractions to unlock peak performance on each platform. </li></ul></div><div><ul><li>Set standards and best practices for model export, validation, and debugging so that AV teams can iterate quickly with clear, reproducible performance and accuracy characteristics. </li></ul></div><div> </div><div>Your Skills &amp; Abilities (Required Qualifications)​​ </div><div><ul><li>3&#43; years of experience in the field of compilers  </li></ul></div><div><ul><li>Experience with ML frameworks (e.g., PyTorch, TensorFlow, JAX) and software stack (e.g., ONNX, MLIR, XLA, TVM, TensorRT, etc)   </li></ul></div><div><ul><li>Expertise in writing production quality Python/C&#43;&#43; code  </li></ul></div><div><ul><li>Expertise in the software development life-cycle - coding, debugging, optimization, testing, integration  </li></ul></div><div><ul><li>BS, or higher degree, in CS/CE/EE, or equivalent  </li></ul></div><div>What Will Give You A Competitive Edge (Preferred Qualifications)​ </div><div><ul><li>Experience building and optimizing ONNX‑based model export and deployment pipelines </li></ul></div><div><ul><li>GPU programming (CUDA) and familiarity with ML SW stack (e.g., cuDNN, cuBLAS)  </li></ul></div><div><ul><li>Experience with ML accelerators and hardware architecture </li></ul></div><div><ul><li>Experience developing and deploying machine learning models  </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 $128,700 to $261,300. 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><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>#GM-AV-1</div></div>&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 Compiler Engineer

3+ years in compilers; experience with ML frameworks (PyTorch, TensorFlow, JAX) and tools (ONNX, MLIR, XLA, TVM, TensorRT); strong Python/C++, SDLC proficiency; BS or higher in CS/CE/EE

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