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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - **Company:** Toyota Research Institute - **Location:** Los Altos, United States - **Experience:** Expert - **Salary:** $258,750.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Big Data, C++ (Programming Language), Code Review, Computer Programming, Software Debugging, Linux, File Systems, Embedded Software, Python (Programming Language), Machine Learning, Tensorflow, Azure Machine Learning, Software Deployment, Software Engineering, Software Systems, System Testing, Systems Integration, Management of Software Versions, Data Logging, Performance Testing, Real Time Systems, Pytorch, Delivery Pipeline, Kubernetes, Information Technology, ONNX (Open Neural Network Exchange) Format, Machine Learning Operations, TensorRT, Automotive Software, C++14, Data Pipelines, Docker - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/senior-software-engineer-toyotaresearch-7073320 ## About the Role * Bachelor or master degree in Computer Science, Robotics, or a related field. * 10+ years of relevant software development experience, ideally in robotics, automotive, embedded systems, or distributed platforms. * Strong proficiency in modern C++ (C++14/17/20) and Python. * Familiarity with Linux systems programming (e.g., sockets, filesystems, threading) and real-time systems. * Experience building ML platforms, data pipelines, or distributed software systems and supporting machine learning training or inference pipelines. * Familiarity with ML frameworks (PyTorch, TensorFlow), model deployment tools (TensorRT, ONNX, TorchScript) and inference runtimes. * Familiarity with Linux-based development environments and production debugging. * Experience integrating and debugging complex software systems, ideally in robotic or automated driving platforms. * Proven ability to work hands-on and cross-functionally to solve real-world deployment issues., * Experience in automated driving, robotics, or simulation-based system testing. * Hands-on experience with embedded systems development, including work on platforms such as NVIDIA Jetson Orin, Qualcomm Snapdragon Ride, or similar automotive-grade SoCs. * Familiarity with container orchestration (Docker, Kubernetes), or orchestration tools for testing and deployment. * Experience working with distributed compute systems, large-scale data logging, or introspection frameworks. * Understanding of automotive software practices and standards (e.g., ISO 26262, safety-critical development). * Prior experience in fast-paced R&D environments bridging research and production. Please include links to any relevant open-source contributions or technical project write-ups with your application. The pay range for this position at commencement of employment is expected to be between $180,000 and $258,750/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment. Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information. TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant's race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment. ## Description We are looking for a Senior Software Engineer to join our end-to-end automated driving team, supporting the integration, prototyping, and deployment of advanced autonomy systems on vehicle platforms. As a software generalist with deep systems knowledge, you will work across the autonomy software stack to accelerate feature development, streamline system-level integration, and help validate both closed-course and public road deployments. The ideal candidate has strong modern C++ (C++14/17/20) and Python programming experience, a robust understanding of robotics or embedded software systems, and thrives in collaborative, high-velocity engineering environments. This role bridges research and real-world deployment, focusing on engineering support for platform integration, evaluation tooling, system bring-up, and diagnostics. You'll partner closely with end-to-end machine learning, simulation and infrastructure teams to ensure that the full stack runs robustly on real vehicles in closed-course, public road and simulation testing. This work is part of Toyota's global AI efforts and will be conducted in close collaboration with teams across TRI, Woven by Toyota, and other engineering partners., * Design, implement, and maintain robust software in C++ and Python, that supports ML training, evaluation, and inference workflows. * Build and maintain ML tooling for dataset handling, experiment tracking, metrics computation, and offline/online analysis. * Enable model export and edge inference prototyping, including model packaging, runtime integration, and performance validation on embedded compute platforms. * Build diagnostics, monitoring, logging, and introspection tools that provide visibility into runtime end-to-end machine learning model behavior and help accelerate iteration. * Collaborate with ML researchers to translate experimental models into repeatable, production-ready pipelines. * Support CI and automation for training, evaluation, and inference workflows. * Partner with cross-functional teams to support software deployment and versioning, ensuring consistent behavior across environments. * Apply rigorous engineering best practices, including code review, documentation, and testing, to deliver robust and maintainable systems. ## Related Videos - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Developing an AI.SDK](https://www.wearedevelopers.com/videos/198-developing-an-ai-sdk) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Recruiting in 2025: Will AI Help or Take Over?](https://www.wearedevelopers.com/videos/1301-recruiting-in-2025-will-ai-help-or-take-over) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Résumé-Driven Development: How IT trends affect the job market for software developers](https://www.wearedevelopers.com/magazine/59-resume-driven-development-how-it-trends-affect-the-job-market-for-software-developers)