About the company
Our client is a robotics company.
The role
Raydar is recruiting for this role on behalf of our client. Develop production control and localization systems for heavy autonomous vehicles operating in challenging industrial environments.
What you'll do
- Design and tune MPC and PID algorithms for autonomous vehicles across changing loads and terrain.
- Develop localization and state-estimation pipelines using GPS/RTK, IMUs, and other sensors.
- Analyze field tests and recorded logs to diagnose control issues.
- Integrate controls with perception, planning, and hardware systems.
- Travel to customer sites for deployment, testing, and tuning.
Requirements
What we're looking for
- 3 to 10 years of relevant robotics controls experience.
- Production deployment experience with localization, navigation, or lateral and longitudinal control on real autonomous vehicles.
- Hands-on ROS, Linux, and model predictive control experience.
- Strong Python and C++ programming, with Kalman filtering and sensor-fusion knowledge.
- A degree in robotics, mechanical, aerospace, or electrical engineering.
Bonus points
- Experience in autonomous mining or heavy vehicles.
- A master's degree or PhD in a controls-related discipline.
Benefits
Compensation and benefits
- Base salary: USD 170,000 to 220,000 per year.
- Equity: Competitive equity.
- Medical, dental, vision, disability, and life insurance.
- 401(k), FSA/HSA options, and commuter benefits.
- Annual performance-based bonus.
- Flexible time off, paid holidays, sick time, and parental leave.
Location and work model
- Five days per week onsite in San Francisco, with up to 15% travel to customer sites. Relocation support is available.
- Visa transfers and new visa sponsorship are listed as available.
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
