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Remote Robotics Research Engineer Jobs in California

Staff Robotics Engineer

Mountain View, CA · On-site +1

$210K - $259K/yr

Lead the integration of R&D prototypes into high-volume production-ready subsystems, driving the ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Senior Robotics Engineer, Manipulation

Milpitas, CA · On-site +1

$121K - $167K/yr

You will build the mathematical engine behind our remote manipulation capabilities. You are ... Ph.D. in Robotics, Mechanical Engineering, Computer Science, or related field, OR an M.S. degree ...

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Remote Robotics Research Engineer information

What is the difference between Remote Robotics Research Engineer vs Remote Robotics Software Developer?

AspectRemote Robotics Research EngineerRemote Robotics Software Developer
Required CredentialsMaster's or PhD in Robotics, Mechanical, or Electrical EngineeringBachelor's or Master's in Computer Science or Software Engineering
Work EnvironmentResearch labs, universities, R&D departmentsTech companies, startups, industrial firms
Industry UsageResearch, academia, innovation projectsProduct development, software solutions, automation
Common Search/ComparisonFocuses on research and innovation in roboticsFocuses on software development for robotics applications

The main difference is that Remote Robotics Research Engineers focus on advancing robotics technology through research and experimentation, often working in academic or R&D settings. In contrast, Remote Robotics Software Developers primarily develop and implement software solutions for robotic systems in industry. Both roles require technical skills, but their goals and work environments differ significantly.

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

To thrive as a Remote Robotics Research Engineer, you need a strong background in robotics, computer science, and mathematics, often supported by an advanced degree in a related field. Proficiency in programming languages such as Python or C++, robotics frameworks like ROS, and simulation tools such as Gazebo or MATLAB is typically required. Exceptional problem-solving, self-motivation, and effective virtual communication are crucial soft skills for collaborating and innovating remotely. These skills and qualities are vital for developing cutting-edge robotics solutions and ensuring smooth teamwork across distributed environments.

How does collaboration typically work for a Remote Robotics Research Engineer, and what tools are commonly used for remote teamwork?

As a Remote Robotics Research Engineer, you’ll frequently collaborate with multidisciplinary teams that may include software developers, mechanical engineers, and data scientists. Communication and project management are facilitated through tools like Slack, Microsoft Teams, and project tracking platforms such as Jira or Asana. Version control and code collaboration often occur via GitHub or GitLab. Regular virtual meetings, code reviews, and shared documentation ensure alignment and productivity despite the physical distance, making strong communication skills and self-motivation essential for success in this remote environment.

What are Remote Robotics Research Engineers?

Remote Robotics Research Engineers are professionals who design, develop, and test robotic systems while working from a remote or virtual location. They use advanced programming skills, simulation tools, and data analysis to create robots or autonomous systems for various industries, such as manufacturing, healthcare, or space exploration. Their responsibilities often include conducting research, collaborating with cross-functional teams, and publishing their findings, all while utilizing cloud-based platforms and remote communication tools. This role is ideal for individuals with strong technical backgrounds who seek flexibility and global collaboration opportunities.
What are the most commonly searched types of Robotics Research Engineer jobs in California? The most popular types of Robotics Research Engineer jobs in California are:
What job categories do people searching Remote Robotics Research Engineer jobs in California look for? The top searched job categories for Remote Robotics Research Engineer jobs in California are:
What cities in California are hiring for Remote Robotics Research Engineer jobs? Cities in California with the most Remote Robotics Research Engineer job openings:
Research Engineer - Training Infra

Research Engineer - Training Infra

Snorkel AI

Redwood City, CA • On-site, Remote

Full-time

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


Job description

About Snorkel
At Snorkel, we believe meaningful AI doesn't start with the model, it starts with the data.
We're on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world's largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
THE ROLE
As an Applied Research Engineer at Snorkel AI, you will own the infrastructure that powers our model training and evaluation work. This is a hands-on role where you will build and operate GPU cluster infrastructure, training pipelines, and the tooling that allows our research and engineering teams to run experiments reliably and at scale. You will work closely with research scientists and engineers, translating training requirements into robust, reproducible systems-and proactively removing infrastructure blockers before they slow down the work that matters most.
Snorkel AI operates in a fast-paced, high-impact environment. We are looking for someone who takes pride in operational excellence, loves solving complex distributed systems problems, and thrives when given real ownership.
Location: Redwood City or San Francisco - OR REMOTE
MAIN RESPONSIBILITIES
  • Set up and manage GPU cluster infrastructure on major cloud providers (e.g., AWS HyperPod) for distributed model training, including networking, provisioning, and cost tracking.
  • Build and operate job orchestration and scheduling systems (e.g., Kubernetes, Slurm, or cloud-native equivalents) to reliably launch and manage training, rollout, and evaluation jobs across multi-node clusters.
  • Integrate and maintain ML training frameworks and post-training pipelines, ensuring they run stably and reproducibly at scale.
  • Set up and maintain experiment tracking, dataset versioning, and model artifact management to support fast iteration.
  • Monitor and optimize cluster health, inter-node communication, and resource utilization; implement fault tolerance and auto-recovery so long-running jobs survive node failures.
  • Work closely with research scientists and ML engineers to understand requirements, unblock experiments, and evolve infrastructure as our training workloads needs change.

PREFERRED QUALIFICATIONS
  • Hands-on experience managing GPU clusters on major cloud providers, including provisioning, network configuration, and cost management.
  • Experience with distributed compute orchestration tools such as Kubernetes, Slurm, or equivalent cluster management systems.
  • Working knowledge of distributed training concepts: parallelism strategies, memory optimization techniques, and inter-node communication.
  • Experience with setting up, managing, and integrating ML experiment tracking and data/model versioning tools..
  • Strong Python proficiency and solid software engineering fundamentals such as version control, modular design, and automation.
  • Ability to work in a fast-moving, iterative environment and take end-to-end ownership of ambiguous infrastructure problems.
  • Hands-on experience with post-training workflows such as supervised fine-tuning (SFT) or reinforcement learning (RLHF, GRPO, or similar) is a strong plus, but not required.

This role is a great fit for engineers who love building reliable systems close to the frontier of AI research. We welcome applicants from a wide range of backgrounds-whether your experience comes from industry, research labs, or direct hands-on work with distributed infrastructure at scale.
BE YOUR BEST AT SNORKEL
Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly-offering a unique combination of stability and the excitement of high growth. As a member of our team, you'll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you're looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you're fully supported in building your career in an environment designed for growth, learning, and shared success.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Be Your Best at Snorkel
Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly-offering a unique combination of stability and the excitement of high growth. As a member of our team, you'll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you're looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you're fully supported in building your career in an environment designed for growth, learning, and shared success.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.