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Robotics Tester Jobs in California (NOW HIRING)

DYNA Robotics Inc

QA Lead, Robotics

Redwood City, CA · On-site

Dyna Robotics builds general-purpose robots powered by a proprietary embodied AI foundation model ... You will hire and mentor a QA team, define testing standards, and stay hands-on with critical ...

OffWorld

Robotics Test Engineer

Pasadena, CA · On-site

These testing and integration activities span virtual tests (e.g., simulation), subsystem and system testing of robotic platforms at both testing facilities and field-deployed sites (open pit and ...

Advanced Robotics Group, LLC

Be Seen First

Autonomous Robotics Software Engineer

San Jose, CA · On-site

... world testing to validate system robustness and reliability · Build production-grade autonomy ... robotics frameworks with proprietary systems Required Qualifications · BS/MS/PhD in Computer ...

OffWorld

Robotics Test Engineer

Altadena, CA · On-site

These testing and integration activities span virtual tests (e.g., simulation), subsystem and system testing of robotic platforms at both testing facilities and field-deployed sites (open pit and ...

Divergent

Industrial Robotics Engineer

Torrance, CA

As a key member of our team, you will contribute to the design, development, and testing of software solutions aimed at enhancing the efficiency and reliability of robotic software algorithms. This ...

Corvus Robotics

Robotics Technician

Mountain View, CA · On-site

$30 - $35/hr

We're Corvus Robotics. Our fully autonomous Corvus One™drones use computer vision & robotics to ... Proficiency with various hand tools and testing equipment * Proficiency in foundational electrical ...

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Robotics Tester information

Which 5 jobs will survive AI?

Robotics testers are likely to continue working as AI cannot fully replace hands-on evaluation of robotic systems, especially those requiring troubleshooting, manual adjustments, and real-world testing. Jobs that involve complex problem-solving, creativity, and human oversight—such as healthcare professionals, skilled tradespeople, educators, AI specialists, and cybersecurity experts—are expected to persist despite advances in AI. These roles often require emotional intelligence, physical dexterity, or nuanced judgment that AI currently cannot replicate fully.

Is robotics still in demand?

Robotics testers are in demand as automation and robotics technology continue to grow across industries such as manufacturing, healthcare, and logistics. The role often requires knowledge of programming, sensors, and testing procedures, with job opportunities expected to remain strong due to ongoing technological advancements.

How to get an entry level robotics job?

To secure an entry-level robotics tester position, candidates should have a background in robotics, mechanical or electrical engineering, or computer science, along with knowledge of programming languages like Python or C++. Gaining hands-on experience through internships, certifications in robotics or automation, and familiarity with testing tools and environments can improve job prospects. Strong problem-solving skills and attention to detail are also important for success in this role.

What engineers make $500,000?

Senior engineers in specialized fields such as software, aerospace, or petroleum engineering can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills, and working in high-demand industries or leadership roles.

What are Robotics Testers?

Robotics Testers are professionals who evaluate and ensure the functionality, reliability, and safety of robotic systems before they are deployed for use. They design and execute tests to identify bugs, performance issues, and potential hazards in both hardware and software components of robots. Robotics Testers work closely with engineers and developers to troubleshoot problems and verify that robots meet required standards and specifications. Their role is crucial in making sure that robots operate as intended in real-world environments.

What is the difference between Robotics Tester vs Robotics Engineer?

AspectRobotics TesterRobotics Engineer
CredentialsTypically requires a degree in robotics, mechanical, electrical engineering, or computer science; certifications in testing or automation are a plusRequires a degree in robotics, mechanical, electrical engineering, or computer science; often holds advanced certifications or specializations
Work EnvironmentPrimarily in labs or testing facilities, focusing on testing robotic systems and softwareDesigning, developing, and implementing robotic systems, often in R&D or manufacturing settings
Employer & Industry UsageUsed by testing labs, manufacturing companies, and R&D departments to ensure robotic systems meet quality standardsEmployed by tech companies, manufacturing firms, and research institutions to create and improve robotic solutions

Robotics Testers focus on evaluating robotic systems for quality and functionality, while Robotics Engineers are involved in designing and developing these systems. Both roles require technical skills and knowledge of robotics, but their responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a Robotics Tester, and why are they important?

To thrive as a Robotics Tester, you need a solid background in robotics engineering, programming (such as Python or C++), and experience with automated testing methodologies, often supported by a relevant engineering degree. Familiarity with hardware-software integration tools, test automation frameworks, and simulation environments like ROS (Robot Operating System) is typically required. Strong problem-solving abilities, attention to detail, and effective communication are crucial soft skills in this role. These skills and qualifications ensure that robotic systems are thoroughly validated, reliable, and safe for deployment in real-world applications.

What are some common challenges faced by Robotics Testers when validating new robotic systems?

Robotics Testers often encounter challenges such as troubleshooting complex hardware-software interactions, replicating intermittent bugs, and ensuring safety compliance during testing. Since robotic systems integrate sensors, actuators, and AI algorithms, testers must develop robust test plans to simulate real-world scenarios and edge cases. Collaboration with engineers and developers is crucial to quickly identify root causes and refine system performance, making strong communication and problem-solving skills essential in this role.
What are popular job titles related to Robotics Tester jobs in California? For Robotics Tester jobs in California, the most frequently searched job titles are:
What job categories do people searching Robotics Tester jobs in California look for? The top searched job categories for Robotics Tester jobs in California are:
What cities in California are hiring for Robotics Tester jobs? Cities in California with the most Robotics Tester job openings:
Robotics Tester jobs near you
Infographic showing various Robotics Tester job openings in California as of July 2026, with employment types broken down into 73% Full Time, 23% Contract, and 4% Nights. Highlights an 100% In-person job distribution.

QA Lead, Robotics

DYNA Robotics Inc

Redwood City, CA • On-site

Full-time

Posted 28 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 the intersection of geometry and robotics, we want to hear from you-even if you don't check every box.

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