ZipRecruiter

Log In

2

Remote Robotics Research Engineer Jobs (NOW HIRING)

ShortList Recruitment Limited

\n \n \n \n \n Robotics Engineer \n \n \n Remote \- USA \n \n \n \n \n \n ShortList has partnered with a pioneering automotive company to augment their high\-performance autonomous vehicle ...

DTEX Systems Inc

Threat Intel Research Engineer

$140K - $180K/yr

DTEX is seeking a highly skilled and mission-driven Threat Intel Research Engineer to join our ... Flexibility - Work in a hybrid or remote environment that balances collaboration with autonomy.

Vecna Robotics

Robotics Deployment Engineer

$75K - $80K/yr

The Robotics Deployment Engineer is a remote role, but the employee must be based in Boston, MA, Louisville, KY, Detroit, MI, Chicago, IL, Indianapolis, IN, or Cincinnati, OH. Reporting to the ...

ARIS Technology

Robotics Software Engineer

Hinckley, IL · On-site +1

Robotics Software Engineer Hinckley, IL (~ 50 miles west of Chicago) Remote Position Summary Join our dynamic team and contribute to the design and development of cutting-edge automated robotic 3D ...

next page

Showing results 1-20

All JobsRobotics Research Engineer JobsRemote Robotics Research Engineer Jobs

Remote Robotics Research Engineer information

See salary details

$29K

$105.6K

$169K

How much do remote robotics research engineer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for remote robotics research engineer in the United States is $105,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $127,000.00 per year, depending on experience, location, and employer.

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.
More about Remote Robotics Research Engineer jobs
What cities are hiring for Remote Robotics Research Engineer jobs? Cities with the most Remote Robotics Research Engineer job openings:
What are the most commonly searched types of Robotics Research Engineer jobs? The most popular types of Robotics Research Engineer jobs are:
What states have the most Remote Robotics Research Engineer jobs? States with the most job openings for Remote Robotics Research Engineer jobs include:
What job categories do people searching Remote Robotics Research Engineer jobs look for? The top searched job categories for Remote Robotics Research Engineer jobs are:
Remote Robotics Research Engineer jobs near you
Infographic showing various Remote Robotics Research Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $105,605 per year, or $50.8 per hour.

Research Engineer, Frontier Capabilities

Lila Sciences

Cambridge, MA • On-site, Remote

Other

Re-posted 2 days ago

Job description

Your Impact at LILA

The AI Research team is tackling one of the most exciting, open problems in AI: training LLMs to run long-horizon scientific discovery tasks. Our approach spans the full post-training stack - from SFT to asynchronous RL on agentic harnesses - teaching models to plan, use tools, and learn from experience in domains where the ground truth isn't a preference label, but a scientific result.

We're rapidly growing our Research Engineering org and seeking talented engineers and ML practitioners across levels to design, build, and optimize systems to push this frontier: scaling post-training, sharpening reasoning, and unlocking compute-intensive agentic-harness training. This is a rare chance to join an early team with the autonomy, flexibility, and compute to tackle frontier science problems.

We operate with high agency, and a bias toward execution. Below are several focus areas within the team. We ask that candidates select the stream that best matches their experience and excitement.

Work Streams

Stream A: GPU Optimization & Training Performance

Maximize hardware utilization across 100B+ parameter asynchronous RL training runs. Responsibilities include profiling, performance optimization, custom kernel development, communication-computation overlap, and long-context throughput improvements. You set and maintain the performance baseline.

Stream B: Stack & Infrastructure

Own the post-training infrastructure end-to-end - supervised fine-tuning, asynchronous RL with tool integration, and data pipelines. Build modular, reproducible workflows with single-command execution. Manage upstream framework upgrades and deliver composable pipelines spanning Data, SFT, and RL stages. You work tightly with Research Scientists to develop and productionize novel algorithms to run at scale.

Stream C: Model Experimentation

Bring deep, hands-on experience training large language models. Lead experimentation on reasoning model development, including mixture-of-experts stabilization, curriculum design, and synthetic reasoning trace generation. You have a bias toward experimental design and tracking, and know how to prioritize runs that yield promising outcomes.

Stream D: Evaluations & Benchmarks

Design and build best-in-class scientific agentic benchmarks and harnesses, along with the dashboards and leaderboards that inform every training decision. You have experience working with well known public benchmarks and have spent time building bespoke agentic benchmarks and harnesses.

Stream E: Agentic Capabilities & Frontier Research

Train models capable of planning, exploration, and tool use over extended horizons. Advance the state of the art in RL at scale with tool-calling, subgoal decomposition, and shared memory/skills across trials to expand the frontier of scientific agent capabilities.

What You'll Need to Succeed

  • Strong software engineering skills in Python; C++/CUDA a plus
  • Experience with distributed ML training frameworks (Megatron-LM, TorchTitan, DeepSpeed, Ray)
  • Understanding of large-scale model training techniques for 100B+ models
  • Experience with cloud or HPC environment
  • Ability to communicate technical results to internal and external stakeholders

Bonus Points For

  • Prior work with large scale scientific datasets or domain-specific modeling
  • Contributions to open-source ML frameworks
  • Experience with RL post-training (RLHF, GRPO, tool-augmented RL)
  • Experience training MoE architectures

Location

San Francisco, CA or Cambridge, MA (Remote, Hybrid, and On-Site available depending on team needs).

Apply