Senior Robotics Engineer Job at Workr Labs, Mountain View, CA

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  • Workr Labs
  • Mountain View, CA

Job Description

Base Salary range for full-time position in US. Final compensation may vary outside this range, depending on factors such as role, level, and location. Individual pay will be determined based on job-related skills, experience, location, and relevant education or training. Physical AI/Robotics at the Edge | High Ownership & Product Influence Forget robotic lab projects folding laundry. We're shipping a revolution. We are building the largest industrial robotic workforce on Earth to revitalize American manufacturing in the dirty, dull and dangerous tasks. We are a small team with deep roots in manufacturing, industrial automation and physical AI, and we are tackling one of the most formidable engineering challenges of our time: deploying and orchestrating fleets of intelligent industrial robots at the edge. To do this, we are unleashing the full power of NVIDIA's most advanced compute, SOTA ML models in harsh environments where 99.99% task completion isn't a goal—it's the starting point. As a Senior Robotics Engineer, you will work across a wide range of challenges spanning perception, planning, control, machine learning, applications, and drivers. You will play a key role in designing, building, and maintaining production-quality robotics software that enables our systems to operate reliably in the real world. You won't just influence a product; you'll collaborate closely with customers to build the infrastructure of a new industrial era. What You’ll Do Contribute flexibly across the stack, from low-level drivers and control to high-level planning, perception, and applications Design, implement, and maintain robust, scalable software for production robotic systems Work with product and customer teams to quickly understand requirements and translate them into practical engineering solutions Optimize algorithms and system architecture to ensure high performance and reliability in real-world deployments Debug complex system-level failures spanning hardware, perception, and control Test, develop and train the latest VLA, VLM, AI and ML technologies Contribute to the overall product strategy and help define technical priorities across the stack Who You Are PhD or equivalent experience in core robotics skills such as; applied perception, control, motion planning, machine learning, or physical interaction Strong software development background, with experience writing production-quality software Have worked on deployed hardware systems (including both sensing and actuation) where reliability and robustness are critical Experience contributing to large, long-lived products and tech stacks Comfortable working across multiple domains, able to quickly pick up new technologies and frameworks Understands the importance of customer requirements and balances technical excellence with usability and business needs Thrives in fast-moving, high-ownership environments and enjoys solving complex, cross-disciplinary problems Willing to jump in and own both large and small problems across hardware and software domains, everything from loose bolts to top level platform architecture Why Join Us Build the core technology powering the future of intelligent manufacturing automation High ownership and autonomy where your contributions directly influence our system architecture and product direction Work alongside a small, high-caliber team of experts in robotics, perception, planning, and systems engineering The opportunity to work on cutting-edge problems with direct real-world impact Join a rapidly growing company with huge future scope Competitive compensation including salary and equity in a seed-stage venture-backed startup Your code won't be living in the cloud controlling widgets; it will command machines on the factory floor. We're solving brutally hard problems to help American manufacturers win. If you have the grit to ship real-world AI, don't let a checklist stop you from applying. #J-18808-Ljbffr Workr Labs

Job Tags

Full time,

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