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Manager Robotics Product Jobs in California (NOW HIRING)

Denso

Manager, Robotics Sales

Long Beach, CA · On-site

Robotics North America Sales Manager - DENSO Robotics Position Summary DENSO is a global leader in ... innovators improve productivity, quality, and operational efficiency through cutting-edge ...

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Denso

Manager, Robotics Sales

Long Beach, CA

Robotics North America Sales Manager - DENSO Robotics Position Summary DENSO is a global leader in ... innovators improve productivity, quality, and operational efficiency through cutting-edge ...

New

OpenAI

Inventory Manager - Robotics

San Francisco, CA · On-site

$157K - $196K/yr

About Team Our Robotics team is focused on unlocking general-purpose robotics and advancing toward ... It does not own purchasing, production planning, or inbound and outbound supplier logistics. This ...

FieldAI

Supply Chain Manager, Robotics Hardware

Irvine, CA · On-site

$100K - $150K/yr

Supply Chain Manager, Robotics Hardware The Supply Chain Manager will be responsible for ensuring ... This role will drive material planning, supplier performance, production readiness, inventory ...

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Manager Robotics Product information

What does a Manager Robotics Product do?

A Manager Robotics Product oversees the development, launch, and lifecycle of robotics products. They work closely with engineering, marketing, and sales teams to define product strategies, set roadmaps, and ensure products meet customer needs. Their responsibilities include market research, prioritizing features, managing budgets, and coordinating cross-functional teams to deliver products on time. They also analyze product performance and gather user feedback to guide future improvements. This role requires a combination of technical knowledge, leadership skills, and business acumen.

What are the key skills and qualifications needed to thrive as a Manager Robotics Product?

To thrive as a Manager Robotics Product, you need a strong background in robotics engineering, product management, and a relevant degree such as engineering or computer science. Familiarity with robotics platforms, Agile project management tools, and certifications like PMP or Scrum Master are typically valuable. Exceptional leadership, communication, and problem-solving skills set successful professionals apart in this role. These competencies are crucial for driving product innovation, aligning teams, and ensuring successful product delivery in a fast-evolving technology landscape.

What are some common challenges faced by a Manager Robotics Product when leading cross-functional development teams?

As a Manager Robotics Product, one common challenge is ensuring effective communication between diverse teams such as engineering, design, and marketing. Each group may have different priorities and technical backgrounds, so aligning goals and timelines requires strong leadership and facilitation skills. Additionally, adapting to rapid technological changes and integrating feedback from both customers and stakeholders can be demanding. Success often relies on fostering a collaborative environment and maintaining a clear product vision throughout the development cycle.

What is the difference between Manager Robotics Product vs Robotics Engineer?

AspectManager Robotics ProductRobotics Engineer
Primary FocusOversees product development, strategy, and lifecycle management of robotics productsDesigns, develops, and tests robotic systems and components
Required CredentialsBachelor's or master's in engineering, business, or related field; experience in product managementBachelor's or master's in robotics, mechanical, electrical, or computer engineering
Work EnvironmentCross-functional teams, product management, and project coordinationResearch labs, development teams, and technical design environments
Industry UsageCommon in tech companies, startups, and manufacturing firmsFound in research institutions, R&D departments, and engineering firms

The Manager Robotics Product focuses on guiding the development and strategy of robotics products, while the Robotics Engineer is primarily involved in designing and building robotic systems. Both roles require technical backgrounds, but their day-to-day tasks and responsibilities differ significantly.

What are popular job titles related to Manager Robotics Product jobs in California?

For Manager Robotics Product jobs in California, the most frequently searched job titles are:

What job categories do people searching Manager Robotics Product jobs in California look for?

The top searched job categories for Manager Robotics Product jobs in California are:

What cities in California are hiring for Manager Robotics Product jobs?

Cities in California with the most Manager Robotics Product job openings:

Manager Robotics Product jobs near you
Infographic showing various Manager Robotics Product job openings in California as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Senior Manager, Robotics Quality Assurance

Nvidia

Santa Clara, CA

Full-time

Re-posted 23 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

Job description

We are looking for a Senior Manager, Robotics Quality Assurance to join our SW QA team! You will part of a team that drives all Quality and Innovation for the Nvidia Robotics team! You'll create engineering processes and build relationship bridges to ensure that the highest industry standards are met.

What you'll be doing:

  • Define and drive the overall test engineering strategy for our robotics products, establishing an engineering-focused approach to quality encompassing design for scalable test frameworks, tools, and methodologies and lead product testing and engineering efforts across a full-stack robotics solution

  • Deliver test automation development for "On-Robot Hardware & Software" and embedded software running on our NVIDIA Jetson AGX Thor platform encompassing sensor integration validation, real-time performance, and low-level control systems.

  • Architect and implement rigorous test plans to validate "AI Foundation models", like Isaac GR00T, focused on performance, safety, and reliability in real-world scenarios. This involves testing model outputs, identifying edge cases, and ensuring robustness.

  • Build and maintain the test infrastructure within our "Simulation & Digital Twins" environments, Isaac Sim and Isaac Lab, developing automated tests verifying physics engine accuracy and the transferability of learned policies from simulation to the real robot.

  • Oversee test automation development for the full "Robotics Software Stack", including Isaac ROS, and its integration with other robotic components.

  • Architect, build, and maintain the test infrastructure for a humanoid reference platform showcasing the power of NVIDIA's technology and develop testing methodologies bridging the "sim-to-real" gap, creating a continuous feedback loop between virtual and physical testing.

  • You'll lead the design of complex test scenarios in Isaac Sim/Lab that use generative AI to stress-test robot policies, ensuring that models trained in simulation (using Isaac GR00T) perform reliably on real physical hardware.

  • Lead design of complex test scenarios in Isaac Sim/Lab that use generative AI to stress-test robot policies, ensuring that models trained in simulation (using Isaac GR00T) perform reliably on real physical hardware.

What we need to see:

  • B.S. or equivalent experience in Mechanical/Electrical/Computer Engineering or related field (or equivalent experience)

  • 12+ overall years aligned Hardware Engineering experience w 3+ years of demonstrable experience in QA involving Robotics or Hardware Engineering

  • 5+ years of leading a team

  • Proficiency with AI Tools such as Cursor, Github Copilot, Perplexity, and ChatGPT

  • Experience in with ML and training /testing Robotics Models

  • Fleet management, telemetry and debug, along with managing demo's

  • Engage closely with a range of cross functional teams including project management, hardware and software developers, and routinely share statistical data reports with all customers, including Top-5.

  • Ability to translate organizational goals to QA deliverables

  • Strong problem solving and analytical skills with excellent communication skills

Ways to stand out from the crowd:

  • Incorporating Vision-Language Models (VLMs) -Designing, developing, and deploying robots that can understand and respond to both visual and linguistic inputs, enabling them to perform complex tasks through natural language commands and visual scene interpretation

  • Teleoperation - Manipulation and setting up data collection labs

  • Fluent in scripting in Python

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 216,000 USD - 345,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 7, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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