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Graduate Robotics Engineer Jobs in California (NOW HIRING)

Scout AI

AI Engineer

Sunnyvale, CA · On-site

The Role We're looking for an AI Engineer to join the Fury Orchestration Team with a deep passion ... Advanced graduate research in AI, robotics, or machine learning is a plus. * Bonus: Experience ...

Waymo

Senior System Test Engineer, Perception

San Diego, CA · On-site +1

$110K - $151K/yr

Waymo's Systems Engineering team works together to blend software and hardware systems in ... graduate school and industry experience both count) * Experience in autonomous vehicles, robotics ...

Matic

Senior Research Engineer

Menlo Park, CA · On-site

$160K - $240K/yr

Our robots are private by design, with all data processing performed by the robot itself, not in ... graduate degree work is a plus * 4+ years of experience working on applied problems in computer ...

Figure

Manufacturing Test Engineer, PCBA

San Jose, CA · Hybrid

$160K - $250K/yr

Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure ... Bachelor or graduate degree in Electrical Engineering or related field. * Experience with Altium ...

Figure

Manufacturing Test Engineer, PCBA

San Jose, CA · On-site

$160K - $250K/yr

Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure ... Bachelor or graduate degree in Electrical Engineering or related field. * Experience with Altium ...

RoboForce

AI Resident

Milpitas, CA · On-site

$112K - $144K/yr

Required : • Master's, or PhD student, recent graduate, or early-career researcher/engineer in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field • ...

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All JobsGraduate Robotics Engineer JobsGraduate Robotics Engineer Jobs in California

Graduate Robotics Engineer information

See California salary details

$28.6K

$104.2K

$166.8K

How much do graduate robotics engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for graduate robotics engineer in California is $104,222.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,400.00 and $125,300.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often involves working in high-demand industries, holding managerial positions, or possessing rare expertise and certifications.

What can I do with a robotics engineering degree?

A robotics engineering degree prepares individuals for roles such as robotics engineer, automation engineer, or control systems engineer, involving designing, developing, and testing robotic systems. Graduates often work in industries like manufacturing, aerospace, healthcare, or research, utilizing skills in programming, mechanical design, and electronics. Certifications in programming languages or robotics platforms can enhance job prospects, and hands-on experience with tools like CAD software or embedded systems is valuable.

Is robotics a dead field?

Robotics is an active and growing field with ongoing advancements in automation, AI integration, and sensor technologies. Robotics engineers are in demand across industries such as manufacturing, healthcare, and research, requiring skills in programming, control systems, and hardware design.

What engineer makes $500,000 a year?

Highly experienced engineers in specialized fields such as aerospace, petroleum, or certain senior executive roles in engineering companies can earn $500,000 or more annually. These positions often require advanced skills, extensive experience, and leadership responsibilities, and may include bonuses or profit sharing.

What are the key skills and qualifications needed to thrive in the Graduate Robotics Engineer position, and why are they important?

To thrive as a Graduate Robotics Engineer, you need a solid understanding of robotics principles, programming (such as Python or C++), and engineering fundamentals, typically backed by a relevant engineering degree. Familiarity with industry tools like ROS (Robot Operating System), CAD software, and experience with embedded systems or hardware prototyping is highly valuable. Strong problem-solving abilities, a collaborative mindset, and effective communication skills make candidates stand out in multidisciplinary teams. These skills are crucial for efficiently developing, testing, and deploying robotic solutions in dynamic and innovative workplace settings.

What kinds of projects and technologies do Graduate Robotics Engineers typically work on?

Graduate Robotics Engineers are often involved in designing, building, and testing robotic systems, which may include tasks like programming motion controls, integrating sensors, and troubleshooting hardware or software issues. Projects can range from developing autonomous vehicles and industrial automation systems to experimenting with AI-driven robotics in research environments. The technologies used may include robotic arms, mobile robots, embedded microcontrollers, and advanced simulation tools. Team members usually collaborate closely with mechanical, electrical, and software engineers, offering opportunities to learn from diverse specialties. This hands-on experience with modern robotics technologies provides a strong foundation for professional growth within the industry.

What is a Graduate Robotics Engineer job?

A Graduate Robotics Engineer is an entry-level role for recent graduates specializing in robotics, automation, or related fields. They assist in designing, developing, and testing robotic systems for various applications, including manufacturing, healthcare, and autonomous systems. Responsibilities typically include programming, circuit design, simulation, and hardware integration. They work closely with senior engineers to improve robotic performance and implement innovative technologies. This role provides hands-on experience and professional development for a career in robotics engineering.

What are the most commonly searched types of Graduate Robotics Engineer jobs in California? The most popular types of Graduate Robotics Engineer jobs in California are:
What are popular job titles related to Graduate Robotics Engineer jobs in California? For Graduate Robotics Engineer jobs in California, the most frequently searched job titles are:
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Graduate Robotics Engineer jobs near you

AI Engineer

Scout AI

Sunnyvale, CA • On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted 11 days ago

Job description

The future of defense will be decided by those who field intelligent machines at scale. At Scout AI, we're developing Fury, the first robotic foundation model for defense, to give U.S. forces overwhelming, adaptable, and autonomous power across every domain. Fury enables human operators to command fleets of robots through natural language, and empowers those machines to sense, decide, and act together as one. This mission will ask everything of us: urgency, precision, and relentless work.
The Role
We're looking for an AI Engineer to join the Fury Orchestration Team with a deep passion for developing and deploying multimodal foundation models that power autonomous teams of robots. Your work will directly influence how our system reasons, plans, remembers and coordinates across multiple robots to accomplish long-horizon missions. Depending on your background and interests, you'll contribute across the stack: model training and evaluation, reinforcement learning, evaluation and simulation, reasoning and memory architectures, multi-agent coordination, and edge inference optimization. Expect to rapidly prototype ideas against rigorous evaluations, test ideas on real robotic mission rollouts, and break new ground as we create the first robotic foundation model for defense.
We're a startup. You'll be moving fast, context-switching daily, and helping define the culture and process as we go. You'll have substantial ownership, influence over technical direction, and the opportunity to help build the future of autonomous defense systems from the ground up.
Responsibilities
  • Design, train, and evaluate multimodal foundation models that enable multi-robot mission execution
  • Drive model development decisions including model architectures, data mixtures, curriculum design, and training recipes informed by rigorous experimentation
  • Curate and generate large-scale training datasets from both synthetic and real-world data engines
  • Develop memory, communication, planning, and tool-use capabilities for AI agents operating across teams of robots
  • Be obsessed with evaluation: design benchmarks, metrics, and testing methodologies that enable rapid iteration across the team
  • Build and improve simulation environments targeted for synthetic data generation, evaluation, and reinforcement learning
  • Translate foundational research into deployable, real-time perception and decision-making systems
  • Collaborate across engineering, robotics, and mission teams to integrate AI systems with onboard autonomy stacks
  • Conduct field trials and mission operations to validate system performance e under real-world constraints

Qualifications
  • 2+ years of hands-on experience building and deploying AI models, including 2+ years working with multimodal models or agentic AI systems
  • Proficiency in Python, PyTorch, and modern machine learning infrastructure
  • Experience training, finetuning, and evaluating large-scale deep learning models using distributed compute infrastructure
  • Demonstrated experience improving model performance through data curation, training strategy, evaluation design, and rigorous experimentation
  • Solid grasp of modern model training techniques including SFT, DPO, RLVR
  • Demonstrated ability to take research from prototype to product in fast-moving environments
  • BS, MS, or PhD in Computer Science, Engineering, Mathematics, Physics, or related technical field, or equivalent practical experience. Advanced graduate research in AI, robotics, or machine learning is a plus.
  • Bonus: Experience building closed-loop simulation, evaluation, or reinforcement learning environments for agentic or physical AI systems
  • Must be a U.S. Person due to required access to U.S. export controlled information or facilitie

Why Join Scout
  • Work on the world's most important frontier, ensuring U.S. and allied dominance in the age of intelligent machines
  • Be a core part of a team building the first defense-specific robotic foundation model
  • Collaborate with some of the top engineers in autonomy, AI, and national security
  • See your work deployed on real systems
  • Help define the future of intelligent defense systems
  • Backed by Draper Associates, Booz Allen Ventures, and other top investors

Benefits
  • Competitive compensation package including base salary and bonus
  • Meaningful equity
  • Premium medical, dental, and vision plans with $0 paycheck contribution
  • Competitive PTO and company holiday calendar
  • Unlimited AI tokens
  • Catered lunch daily and fully stocked kitchen
  • EV charging
  • Relocation assistance (depending on role eligibility)

The stated salary range below represents an estimated base pay only and reflects consideration of multiple compensation factors. Final salary offers may differ depending on factors including, but not limited to, relevant experience or training background, specialized skills, and business needs. Most full-time positions also include highly competitive equity awards, which form part of Scout AI's overall compensation package. In addition, Scout AI provides comprehensive, top-tier benefits to full-time employees.
US Salary Range
$160,000-$400,000 USD

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