ZipRecruiter

Log In

1

Senior Robotics Engineer Jobs in California (NOW HIRING)

Luumlash

Senior Robotics Software Engineer

Oakland, CA · On-site

$170 - $200/hr

About the Role We are seeking a Senior Robotics Engineer who is excited about applying the physical application of robotics and AI in the beauty space. Our engineering team is lean but experienced so ...

Instock

Senior Robotics Leader

San Francisco, CA · On-site

$140 - $190/hr

As a Senior Robotics Engineer, you will be a hands‑on contributor and mentor, leading a focused subteam of 2-3 engineers. You'll be responsible for refining our current robot design while ...

previous pagenext page

Showing results 21-40

All JobsRobotics Engineer JobsSenior Robotics Engineer JobsSenior Robotics Engineer Jobs in California

Senior Robotics Engineer information

See California salary details

$58.7K

$124.9K

$181.1K

How much do senior robotics engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for senior robotics engineer in California is $124,900.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,100.00 and $141,600.00 per year, depending on experience, location, and employer.

What is a senior robotics engineer?

A Senior Robotics Engineer designs, develops, and implements advanced robotic systems for various applications, such as automation, manufacturing, and healthcare. They lead projects, collaborate with cross-functional teams, and optimize hardware and software integration. Their role also includes troubleshooting, prototyping, and improving robotic algorithms for efficiency and precision. Additionally, they mentor junior engineers and ensure compliance with industry standards.

What are the typical projects and daily responsibilities of a senior robotics engineer?

Senior Robotics Engineers usually work on the end-to-end development of robotic systems, from conceptual design and prototyping to testing and deployment. Their daily responsibilities often include leading project teams, developing software and hardware integration, troubleshooting system issues, and optimizing performance. Collaboration with cross-functional teams such as mechanical engineers, software developers, and product managers is frequent. These engineers may also mentor junior staff, participate in code reviews, and stay updated on emerging robotics technologies to implement the latest advancements. This mix of technical and leadership tasks makes the role both challenging and rewarding.

What are the key skills and qualifications needed to thrive as a senior robotics engineer?

A Senior Robotics Engineer typically requires an advanced degree in robotics, mechanical, electrical, or computer engineering, along with extensive experience in designing and developing robotic systems. Proficiency in programming languages such as C++, Python or ROS, and familiarity with CAD tools, embedded systems, and relevant certifications like Certified LabVIEW Developer are highly valued. Strong problem-solving skills, leadership abilities, and effective communication set top candidates apart. These skills ensure innovative solutions, efficient project management, and effective collaboration across multidisciplinary teams in the fast-evolving field of robotics.

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 are popular job titles related to Senior Robotics Engineer jobs in California?

For Senior Robotics Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Senior Robotics Engineer jobs in California look for?

The top searched job categories for Senior Robotics Engineer jobs in California are:

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

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

Senior Robotics Engineer jobs near you
Infographic showing various Senior Robotics Engineer job openings in California as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $124,900 per year, or $60 per hour.

Senior Robotics Engineer, Data Collection

GRAM

Palo Alto, CA • On-site

$170K - $220K/yr

Full-time

Medical

This job post has expired 1 day ago. Applications are no longer accepted.

Key responsibilities

  • Build field-capable demonstration interfaces and systems for data collection in physical work environments.

  • Translate model failures and evaluation gaps into controlled scenarios, collection protocols, and measurable acceptance criteria.

  • Measure the impact of collected experience on system performance and refine data collection campaigns accordingly.

Job description

The Mission

GRAM is a self replication company creating populations of insectoids for the physical economy.

Our first research frontier is self-preservation: the base case of physical self-replication. Our machines will survive, coordinate, and recover without humans. We believe scalable machine labor requires more than single-agent task generality or machines shaped in our image.

About the role

You will own the systems and methods that generate high-quality robot data from physical work, spanning demonstration, teleoperation, intervention, autonomous operation, instrumentation, operator tooling, scenario execution, and source-quality control. You will translate capability gaps into collection campaigns and use measured downstream results to decide what the machines should experience next.

This is a senior engineering role responsible for how experience is produced and validated at capture, including meaningful variation, failures, recoveries, and episode-level evidence. You also define the capture contracts that keep recorded experience usable for reproducible datasets and replay. Success means each campaign yields data that can change a training or evaluation decision—not operating hours without learning value.

What you will do
  • Build field-capable demonstration interfaces and robust systems for teleoperation, intervention, autonomous rollout, and recovery-data collection in realistic physical work.
  • Translate model failures and evaluation gaps into controlled scenarios, collection protocols, sampling priorities, and measurable acceptance criteria.
  • Design operator interfaces with explicit command authority, latency budgets, feedback, safe handoff, and emergency behavior.
  • Instrument demonstration tools, robots, operators, and environments so perception, action, timing, contact, intervention, and task outcome remain aligned and valid at capture.
  • Commission collection stations and diagnose failures spanning sensors, controls, networking, operator input, robot execution, and recorded data.
  • Define operator procedures, calibration checks, training, and escalation paths that produce consistent evidence across people and sessions.
  • Measure whether collected experience changes model or system performance, then use the result to refine the next campaign.
Minimum qualifications
  • Bachelor's degree in computer science, electrical engineering, mechanical engineering, robotics, or a related field, or equivalent practical experience.
  • Strong C++ or Python programming ability in Linux, including experience with robot middleware, sensor streams, command interfaces, and hardware debugging.
  • Direct experience building and repeatedly operating a teleoperation, shared-control, portable demonstration, instrumented task-tool, or robot-data collection system for physical work.
  • Demonstrated ability to characterize end-to-end latency, timing, calibration, command safety, and data quality using instrumented tests.
  • Experience converting a learning, test, or capability objective into a physical collection protocol whose data produced a measured change in model or system performance.
Preferred experience
  • Portable demonstration interfaces, instrumented task tools, VR, motion capture, haptics, retargeting, remote robot operation, or shared autonomy.
  • Imitation learning, reinforcement learning, active learning, or failure-directed data collection.
  • Networked real-time systems, video transport, time synchronization, or edge data capture.

The annual base salary range for this Palo Alto position is $170,000–$220,000. Health coverage, benefits, and generous equity come with the role. This role is on-site in Palo Alto. A relocation bonus is available. We hire to start as soon as possible. We review what you've shipped; if it's the caliber we seek, interviews take about a week, start to finish. We treat your work and conversations with discretion.

Apply