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Assistant Robotics Engineer Jobs in California (NOW HIRING)

We expect aggressive use of AI tools (LLM code generation, AI test assistants, GenAI test design ... Partner with developers to continuously expand CI coverage and shift testing left, minimizing ...

Provide feedback on robot performance and usability * Assist engineering teams in identifying opportunities for improvement * Participate in testing of new workflows and operational procedures What ...

Provide feedback on robot performance and usability * Assist engineering teams in identifying opportunities for improvement * Participate in testing of new workflows and operational procedures What ...

Provide feedback on robot performance and usability * Assist engineering teams in identifying opportunities for improvement * Participate in testing of new workflows and operational procedures What ...

Provide feedback on robot performance and usability * Assist engineering teams in identifying opportunities for improvement * Participate in testing of new workflows and operational procedures What ...

Provide feedback on robot performance and usability * Assist engineering teams in identifying opportunities for improvement * Participate in testing of new workflows and operational procedures What ...

Provide feedback on robot performance and usability * Assist engineering teams in identifying opportunities for improvement * Participate in testing of new workflows and operational procedures What ...

Provide feedback on robot performance and usability * Assist engineering teams in identifying opportunities for improvement * Participate in testing of new workflows and operational procedures What ...

Provide feedback on robot performance and usability * Assist engineering teams in identifying opportunities for improvement * Participate in testing of new workflows and operational procedures What ...

Provide feedback on robot performance and usability * Assist engineering teams in identifying opportunities for improvement * Participate in testing of new workflows and operational procedures What ...

Provide feedback on robot performance and usability * Assist engineering teams in identifying opportunities for improvement * Participate in testing of new workflows and operational procedures What ...

Provide feedback on robot performance and usability * Assist engineering teams in identifying opportunities for improvement * Participate in testing of new workflows and operational procedures What ...

Showing results 41-60

Assistant Robotics Engineer information

See California salary details

$32.6K

$87.6K

$132.7K

How much do assistant robotics engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for assistant robotics engineer in California is $87,592.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,600.00 and $103,100.00 per year, depending on experience, location, and employer.

What does an assistant robotics engineer do?

An Assistant Robotics Engineer supports the design, development, and testing of robotic systems and components. They assist senior engineers in building prototypes, running simulations, troubleshooting issues, and maintaining technical documentation. Their responsibilities often include programming, assembling hardware, and ensuring that robotic systems meet performance and safety standards. This entry-level role provides valuable hands-on experience in robotics engineering projects and is a common stepping stone to more advanced engineering positions.

What are the key skills and qualifications needed to thrive as an assistant robotics engineer, and why are they important?

To thrive as an Assistant Robotics Engineer, you need a solid background in robotics, mechanical or electrical engineering, and programming languages like C++, Python, or ROS, typically supported by a relevant degree. Familiarity with CAD software, embedded systems, and robotic simulation tools, as well as certifications such as Certified Robotics Engineer, are commonly required. Strong problem-solving, teamwork, and clear communication skills help you collaborate effectively and resolve technical issues. These competencies are crucial for designing, testing, and improving robotic systems in a rapidly evolving technological field.

What are some common challenges assistant robotics engineers face when transitioning from academic projects to industry roles?

Assistant Robotics Engineers often find the transition from academic projects to industry roles challenging due to stricter project timelines, greater emphasis on practical implementation, and collaborative development environments. In industry, engineers must balance innovation with reliability, adhere to industry standards, and work closely with interdisciplinary teams such as software developers, mechanical engineers, and project managers. Effective communication and adaptability are crucial, as projects may pivot based on client feedback or evolving requirements. Additionally, gaining familiarity with proprietary tools and large-scale systems integration is often necessary.

What is the difference between Assistant Robotics Engineer vs Robotics Engineer?

AspectAssistant Robotics EngineerRobotics Engineer
Required CredentialsBachelor's degree in robotics, engineering, or related field; internships often preferredBachelor's or master's degree; more experience or specialization often required
Work EnvironmentSupportive roles in labs or development teams, assisting senior engineersDesign, develop, and test robotic systems independently or leading projects
Employer & Industry UsageUsed in tech companies, research labs, manufacturing firmsUsed in advanced R&D, industrial automation, and product development

Assistant Robotics Engineers typically support robotics projects under supervision, focusing on testing and assembly, while Robotics Engineers take on more independent design and development responsibilities. Both roles require similar educational backgrounds, but Robotics Engineers usually have more experience and responsibility.

What are the most commonly searched types of Robotics Engineer jobs in California?

The most popular types of Robotics Engineer jobs in California are:

What cities in California are hiring for Assistant Robotics Engineer jobs?

Cities in California with the most Assistant Robotics Engineer job openings:

QA Lead, Robotics

Redwood City, CA • On-site

Full-time

Re-posted 15 days ago


Job description

Dyna Robotics builds general-purpose robots powered by a proprietary embodied AI foundation model with top-in-industry generalization and real-world performance. Already deployed with customers across multiple industries, our robots do commercial-grade work in the physical world. Our team comes from Google DeepMind, Meta, and Cruise, and we're backed by CRV, First Round, and other leading investors.
The Role
Build and lead the QA function at Dyna across our full stack - cloud inference servers to Linux-based IoT devices on the factory floor. Real-world robotics cannot be fully validated in simulation; physical hardware behavior and real-environment variability require hands-on QA judgment. You will hire and mentor a QA team, define testing standards, and stay hands-on with critical validation - balancing automation with the physical testing our domain demands. We expect aggressive use of AI tools (LLM code generation, AI test assistants, GenAI test design) to multiply team output.
What You'll Do
  • People Management: Hire, develop, and retain a QA team. Provide career development and feedback, delegate ownership to grow engineers, and monitor team energy to prevent burnout. Drive recruiting and foster a culture of intellectual honesty and psychological safety.
  • QA Strategy & Cross-Functional Alignment: Own the QA strategy and roadmap. Align priorities with company vision, translate quality risks into business impact, and drive alignment across robotics, ML, and infrastructure teams. Shield the team from organizational noise.
  • Test Automation & CI/CD (primary focus): Build and maintain scalable automated test frameworks across robot software, cloud, and edge devices. Partner with developers to continuously expand CI coverage and shift testing left, minimizing manual testing over time.
  • Release Validation & Benchmarking: Own and automate release checklists (inference server, station-side deployment). Run A/B testing for robotic tasks to measure success rates and latency. Manual validation where automation is not yet feasible.
  • AI Model Evaluation & Regression Testing: Design and execute evaluation pipelines that validate AI model and full-system performance across model, software, and hardware updates. Define and track key metrics (task success rate, cycle time, generalization across environments), build automated regression benchmarks, and gate releases on evaluation results to prevent regressions from reaching production.
  • System Monitoring & Alerting: Use tools like Datadog and Grafana to track system health, identify performance regressions, and maintain observability across production environments.
  • Physical Hardware QA & Integration: Validate real-robot behavior that simulation cannot cover - mechanical repeatability, sensor calibration drift, and edge cases on physical hardware. Troubleshoot integration issues across firmware, drivers, and application software.
  • Process & Documentation: Establish and maintain standard operating procedures (SOPs) for hardware and software validation; drive continuous process improvement.
What You'll Bring
  • Education: Bachelor's or Master's in Computer Science, Robotics, or a related field.
  • Experience: 7+ years in QA, SRE, or Robotics Engineering with hands-on experience testing real hardware systems (not purely software/simulation), including 2+ years in a team lead or management role.
  • Technical Skills: Proficiency in Python. Comfortable navigating build systems, running test pipelines, and debugging failures across the stack - not expected to develop features.
  • Systems: Strong Linux administration skills and experience with IoT/edge device deployments.
  • Testing Tools: Deep experience in developing and managing automated testing frameworks; familiarity with modern AI/ML testing, model evaluation, and regression benchmarking techniques; simulation (Gazebo, MuJoCo), and CI/CD tools (Docker, Kubernetes).
  • AI Tools: Track record of adopting AI/LLM tools to accelerate QA workflows (test generation, bug triage, automation scaffolding). Must actively seek out and integrate new AI tools.
  • Hardware QA: Hands-on experience with physical robot testing, hardware bring-up, or manufacturing QA - understanding failure modes that only appear on real hardware.
  • Soft Skills: Strong leadership and people management; effective communicator across technical and non-technical stakeholders.
Bonus Points For
  • Experience with computer vision metrics (image quality, depth validation, camera calibration).
  • Experience with ML model evaluation, defining performance metrics for AI systems, or building automated regression pipelines for ML models.
  • Previous experience in a fast-paced startup environment.

At Dyna Robotics, we build technology for the real world, which requires a team as diverse as the environments our robots inhabit. We are an equal opportunity employer committed to technical rigor and mutual respect.
Don't let a checklist stop you. Data shows that underrepresented groups often only apply if they meet 100% of the criteria. We value problem-solving and grit over keyword matching. If you're passionate about robotics, no matter your discipline, we want to hear from you, even if you don't check every box.