Explore 4 python developer iii jobs from 4 hiring companies in Monmouth, OR, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Python Developer Iii

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Python Developer Iii Jobs

Biamp

ESS Tech

Workday

ZincFive

Onsite

Hybrid

<div> The Firmware Engineer III works with cross-functional teams to develop embedded firmware and related software solutions for ZincFive&#39;s NiZn-based UPS products and supporting technologies. This role supports product development from concept through validation and release, with responsibility for delivering reliable, high-quality solutions that meet program, performance, and schedule objectives. This position will independently lead significant firmware features and bounded subsystems, contribute to firmware and system architecture, and drive technical execution within established subsystem and program plans. This position will work onsite at ZincFive headquarters in Tualatin, Oregon and reports to the Lead Software Engineer.Firmware Engineer III Job Duties:<ul style="list-style-type: disc;"><li>Responsible for design and implementation of firmware running on embedded platforms</li><li>Lead development of significant firmware features, control algorithms, and bounded subsystems</li><li>Contribute to firmware and system architecture design reviews and technical decision-making</li><li>Ensure solutions meet or exceed each development phase gate requirement</li><li>Develop automated unit, integration, and functional tests to verify operational correctness of new code</li><li>Write performance analysis code, evaluate results, and recommend improvements</li><li>Participate in manual testing cycles to verify application features and subsystem functionality</li><li>Perform ongoing defect identification, debugging, and resolution</li><li>Support sustaining engineering issues including RCCA (Root Cause &amp; Corrective Action), and service and support calls</li><li>Adhere to the PLM gate process and ensure timely completion of action items</li><li>Take ownership of assigned projects and technical areas and communicate progress, risks, and status to engineering leadership and program stakeholders</li><li>Escalate open issues in a timely manner to mitigate project delays, and help drive resolution plans</li><li>Work with small cross-functional teams (mechanical, electrical, software, product management) on new product development and continuous improvement</li><li>Mentor junior engineers through code reviews, design feedback, and technical guidance</li><li>Help improve coding practices, documentation quality, and engineering consistency across the team</li><li>Support subsystem integration, lab bring-up, and validation activities across development and release phases</li></ul>Job Requirements:<ul style="list-style-type: disc;"><li>Bachelor&rsquo;s degree in computer science, computer engineering, electrical engineering, or related field</li><li>4+ years of experience in a related field</li><li>Experience with real-time, optimized C development</li><li>Experience with embedded processors and microcontrollers</li><li>Experience interpreting schematics, operating lab instruments, and using logic analyzers</li><li>Familiarity with software architecture, design patterns, and coding guidelines for best practices</li><li>Experience developing and debugging firmware in embedded systems</li><li>Experience developing automated tests or validation tools for firmware verification</li><li>Ability to independently own technical workstreams and deliver high-quality solutions with limited oversight</li><li>Technical documentation skills</li><li>Demonstrates effective communication, organization, collaboration, and problem-solving skills</li><li>Proficiency with multiple programming languages (C/C++, JavaScript, Python)</li><li>Development experience with SoC/ARM/Microchip processors and FPGAs</li><li>Experience applying secure development lifecycle practices to embedded products</li><li>Experience implementing or supporting embedded security features such as secure boot, signed firmware update, access control, or secure communications</li><li>Experience with optimization and debugging tools and techniques</li><li>Ability to understand schematics and debug circuit boards</li><li>Experience developing in an RTOS environment&nbsp;</li></ul>Preferred Qualifications:<ul style="list-style-type: disc;"><li>Master&rsquo;s degree in computer science, computer engineering, electrical engineering, or related field</li><li>Familiarity with industrial cybersecurity principles and standards such as IEC 62443</li><li>Experience with battery systems, power electronics, or other embedded control systems&nbsp;</li></ul>Key Competencies:<ul type="disc"><li>Attention to detail</li><li>Excellent communication skills - verbal and written</li><li>Good judgment with solid decision making</li><li>Customer service orientation</li><li>Teamwork and collaboration</li><li>Continuous improvement&nbsp;</li></ul>Physical Requirements and Working Conditions:<ul style="list-style-type: disc;"><li>Work involves sitting, repetitive motion, occasional walking, and lifting up to 15 pounds</li><li>Normal office/lab environment</li><li>Requires close visual acuity and ability to distinguish colors</li><li>Must be able to wear standard PPE when required&nbsp;</li></ul>Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role.&nbsp;&nbsp;In addition, the successful candidate for this position will become eligible for a comprehensive set of outstanding benefits, including medical, dental, vision, life insurance, 401k, paid sick time, paid time off for vacation, paid holidays, paid community service days, professional/personal learning program, and applicable state/federal paid family leave.&nbsp;&nbsp;ZincFive is committed to employing a diverse workforce. As an Equal Opportunity and Affirmative Action Employer all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status. We maintain a safe workplace and perform pre-employment testing. ZincFive is a participant in E-Verify and receives employment authorization of new hires through Social Security and the Department of Homeland Security databases.</div>

Firmware Engineer III

Firmware Engineer

4+ years in embedded firmware development; real-time C; RTOS; SoC/ARM/Microchip; debugging and testing; cross-functional collaboration; secure development practices.

Your work days are brighter here.We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you&#39;re building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.About the TeamThis is a very exciting opening in the AI Platform team in our Agent Optimization &amp; Evaluation, and Information Retrieval team.. We are the Optimization and "Ground Truth" engine for Workday’s AI transformation, building the critical infrastructure that empowers over 65% of the Fortune 500. Our mission is two-fold: 1. Agent Optimization &amp; Evaluation: Providing the algorithms and rigorous data-driven frameworks to validate, scale, and optimize AI agents across our entire enterprise suite. 2. Information Retrieval: Developing the intelligence layer that bridges human language and enterprise data through advanced semantic search and natural language-to-code (SQL/Python) execution. Why Join Us? 1. The Data &amp; Frontier: Solve unique challenges in Agentic AI using exclusive, high-integrity enterprise datasets. 2. Impact at Scale: Your work acts as the optimizer and gatekeeper of quality for products reaching 31 million users globally. 3. People-First Culture: We balance high-intensity innovation with a commitment to sustainable work-life integration. We are looking for creative, results-focused ML Engineers and Senior ML Engineers to help us build the next generation of "AI-first" products.About the RoleWe are seeking pragmatic ML and Senior ML Engineers to drive the applied research, deployment, and optimization of our Agentic AI, Search, and Semantic Parsing products. In this role, you will bridge the gap between deep research and production, embedding cutting-edge agents directly into the Workday ecosystem. Leveraging our vast computing power and exclusive datasets, you will solve complex technical challenges to deliver transformative value to millions of users. If you are ready to apply creative problem-solving to global-scale ML systems, we want to hear from you.In this role, you would:<ul><li>Architect Agentic AI: Design and deploy sophisticated reasoning, planning, and swarm agents that interact seamlessly with enterprise data and support continuous, life-long learning.</li><li>Drive Meta-ML &amp; Optimization: Develop algorithms for automated node-level optimization within agent graphs, identifying the best LLM and prompt configurations for every workflow step. Build recommender systems for engineering teams to drive optimal evaluation for their agents.</li><li>Advance Information Retrieval: Build hybrid, agentic search systems and semantic parsing products (Text-to-SQL/Python) utilizing vector search, reasoning, and fine-tuning for structured output.</li><li>Scale Evaluation &amp; Observability: Engineer cloud-based pipelines (Kubeflow) and A/B testing frameworks for rigorous offline/online evaluation, failure attribution, and safety monitoring.</li><li>Lead the ML Lifecycle: Own the end-to-end MLOps process—from exploration and prompt engineering to scalable production deployment—ensuring high-quality, reliable performance.</li><li>Define Strategic Roadmaps: Independently identify ML opportunities, propose high-impact solutions to leadership, and integrate industry best practices across the organization.</li><li>Collaborate with Autonomy: Work cross-functionally with PMs and Engineers to deliver &#34;AI-first&#34; products, enjoying full ownership of your work within a supportive, growth-oriented culture.</li></ul>About YouBasic Qualifications (MLE III)<ul><li>Deep Technical ML Capability: 3&#43; years of experience researching, developing and deploying production-grade ML systems, including expertise in deep learning, NLP,  Information Retrieval, and recommender systems using frameworks like PyTorch or TensorFlow.</li><li>Generative AI &amp; Agentic Systems: Proven track record of building and evaluating LLM-powered products, including expertise in RAG architectures, agentic frameworks (e.g., LangChain/LangGraph), and long-context LLM applications (e.g., Text-to-SQL).</li><li>Engineering Excellence: Expert-level Python skills with a focus on modular library design, asynchronous patterns, and scalable system architecture (state management/error handling) for non-deterministic AI outputs.</li><li>Production MLOps: Hands-on experience with the full ML lifecycle, including model fine-tuning (PEFT), evaluation frameworks (e.g., DeepEval/RAGAS), and cloud-native deployment (Docker/K8s, AWS/GCP).</li></ul>Basic Qualifications (Senior MLE)<ul><li>Deep Technical ML Leadership: 6&#43; years of experience researching, developing and deploying production-grade ML systems, including expertise in deep learning, NLP,  Information Retrieval, and recommender systems using frameworks like PyTorch or TensorFlow.</li><li>Generative AI &amp; Agentic Systems: Proven track record of building and evaluating LLM-powered products, including expertise in RAG architectures, agentic frameworks (e.g., LangChain/LangGraph), and long-context LLM applications (e.g., Text-to-SQL).</li><li>Engineering Excellence: Expert-level Python skills with a focus on modular library design, asynchronous patterns, and scalable system architecture (state management/error handling) for non-deterministic AI outputs.</li><li>Production MLOps: Hands-on experience with the full ML lifecycle, including model fine-tuning (PEFT), evaluation frameworks (e.g., DeepEval/RAGAS), and cloud-native deployment (Docker/K8s, AWS/GCP).</li></ul>Other Qualifications<ul><li>Academic Foundation: Advanced degree (Master’s or Ph.D.) in a quantitative field or a strong portfolio of peer-reviewed research publications.</li><li>Optimization &amp; Advanced Techniques: Proficiency in techniques like DSPy, Reinforcement Learning, imitation learning, graph neural networks, multi-modal models, and large-scale data processing (PySpark, SQL).</li><li>Experimental Rigor: A &#34;test-everything&#34; mindset with experience in A/B testing, Knowledge Graphs, and &#34;Golden Dataset&#34; curation for model benchmarking.</li><li>Data Pipelines: Proficiency in large-scale data processing (PySpark, SQL).</li><li>Collaborative Leadership: Demonstrated ability to lead cross-functional teams, mentor junior engineers, and solve ambiguous problems with high autonomy.</li></ul>#LI-JH1 Workday Pay Transparency StatementThe annualized base salary ranges for the primary location and any additional locations are listed below.  Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please <a target="_blank" href="https://workdaybenefits.com/us/welcome-to-workday-benefits/prospective-workmates">click here</a>.Primary Location: CAN.ON.Toronto  Primary Location Base Pay Range: $156,000 CAD - $234,000 CAD  Additional US Location(s) Base Pay Range: $163,000 USD - $288,000 USDAdditional Considerations: If performed in Colorado, the pay range for this job is $171,600 - $257,400 USD based on min and max pay range for that role if performed in CO.<div><div><div><div><div><div><div>The application deadline for this role is the same as the posting end date stated as below:  </div></div></div></div></div></div></div>04/10/2026 Our Approach to Flexible Work  With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you&#39;ll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote &#34;home office&#34; roles also have the opportunity to come together in our offices for important moments that matter.Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans. At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email <a target="_blank" href="mailto:accommodations&#64;workday.com">accommodations&#64;workday.com</a>.Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!At Workday, we value our candidates’ privacy and data security.  Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.   Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.  In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

Machine Learning Engineer III / Senior Machine Learning Engineer - AI Platform

Machine Learning Engineer

3+ years ML systems; NLP, IR, recommender; Python, PyTorch/TensorFlow; MLOps, Docker/K8s; PEFT, cloud deployment; 6+ years for senior track; Master’s/PhD preferred.

Please note that we are not currently accepting resumes or additional support from talent agencies or third party sources.  Any resumes received from these sources will be considered unsolicited. We value integrity and clear communication with our partners and appreciate your understanding in this matter.The role, at a glance: We are seeking a Product Verification Engineer to evaluate software, firmware, associated with electronic devices to ensure exceptional product quality. This role involves comprehensive testing and validation of applications and associated audio/visual and room control equipment to meet rigorous quality standards. How you&#39;ll contribute:<ul><li>Design, develop, and execute comprehensive test plans for software, associated with electronic devices.</li><li>Perform manual and automated testing including black box testing on desktop devices, networked systems, and cloud-connected devices</li><li>Develop and maintain automated test scripts using programming languages such as  Python, or similar tools</li><li>Configure and manage network environments for testing both locally and in cloud environments</li><li>Collaborate effectively with cross-functional teams including development, quality assurance, and product management</li><li>Analyze test results, identify defects, and work with development teams to resolve issues</li><li>Document test plans, test cases, and results using tools such as Jira</li><li>Review technical specifications and provide constructive feedback</li><li>Support continuous improvement of testing processes and methodologies</li><li>Other duties as assigned</li></ul> A successful candidate should have:<ul><li>Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Electronics Engineering Technology, or equivalent combination of education and experience</li><li>Minimum 5 years of hands-on testing experience with knowledge of diverse testing methodologies and protocols</li><li>Demonstrated experience in product verification and validation processes</li><li>Demonstrated experience with test automation tools</li><li>Experience with multiple operating systems: Windows, Linux, Android, iOS</li><li>Strong understanding of network protocols and cloud technologies</li><li>Experience with test management tools (Jira preferred)</li><li>Excellent written and verbal communication skills</li><li>Ability to create detailed technical documentation including test plans and quality reports</li><li>Strong analytical and problem-solving abilities</li></ul> Some nice-to-haves:<ul><li>Experience with Dart and Flutter</li><li>Experience with automation frameworks and tools such as pytest, Selenium, Test Complete, Playwright, Postman, or other API testing tools</li><li>Knowledge of audio/visual equipment testing</li><li>Experience with continuous integration/continuous deployment (CI/CD) processes</li><li>Familiarity with industry standards and compliance requirements</li></ul> Work Environment:<ul><li>Office environment with occasional lab testing</li><li>Ability to lift to 25 lb.</li><li>On-site presence required</li></ul>Who is Biamp?We make the world’s most extraordinary audio and video solutions. For over 50 years, Biamp has created and innovated professional audiovisual solutions that enable great communication. From the smallest of rooms to the largest of venues, we empower true human connection in every space.As we grow to meet our customers’ needs and evolve to address the challenges of tomorrow, one guiding principle remains the same: Biamp connects people through extraordinary audiovisual experiences.About our company:At Biamp, we believe the employment relationship should be reciprocal. We want you to love your job, and we want your expertise and knowledge to help drive our business forward. We champion a supportive and dynamic environment filled with passionate people who choose continuous improvement over perfection. We insist on clear, explicit decision making, believe in taking calculated risks, and celebrate tough decisions even when they don’t succeed. We look for people who desire the best from themselves and encourage the same from their coworkers. Our commitment to one another and to the common goal is the most consistent reliable path to recurring success for all of us.

Product Verification Engineer III

Product Verification Engineer

5+ years of hands-on product verification and testing; test automation experience; cross-functional collaboration; OS knowledge; strong communication and documentation skills.

Mechanical Design Engineer III

Mechanical Design Engineer

5+ years in mechanical design/analysis of fluid or electrochemical systems; 3D CAD; GD&T; materials and sealing; cross-functional collaboration.

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