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Thinking Machines Lab Jobs in Redmond, WA (NOW HIRING)

Senior Robotics Research Scientist

Seattle, WA · On-site

$112K - $142K/yr

The Seattle Robotics Lab is focused on fundamental and applied robotics research across the full ... A PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical ...

We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field ... bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston ...

We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field ... bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston ...

We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field ... bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston ...

Electrical Engineer III

Seattle, WA · On-site

$121K - $169K/yr

This position requires both systems-level thinking and hands-on execution. You will guide the ... Hands-on lab bring-up/debug skills (oscilloscope, DMM, logic analyzer, power supplies, load ...

Electrical Engineer III

Seattle, WA · On-site

$121K - $169K/yr

This position requires both systems-level thinking and hands-on execution. You will guide the ... Hands-on lab bring-up/debug skills (oscilloscope, DMM, logic analyzer, power supplies, load ...

Sr. Electrical Engineer

Seattle, WA · On-site

$145K - $203K/yr

This position requires both systems-level thinking and hands-on execution. You will guide the ... Hands-on lab bring-up/debug skills (oscilloscope, DMM, logic analyzer, power supplies, load ...

Sr. Electrical Engineer

Seattle, WA · On-site

$145K - $203K/yr

This position requires both systems-level thinking and hands-on execution. You will guide the ... Hands-on lab bring-up/debug skills (oscilloscope, DMM, logic analyzer, power supplies, load ...

The Opportunity The Research Engineering & Design Lab within Adobe Research is looking for a ... Knowledge of state-of-the-art machine learning methods for large scale multimodal models

The Opportunity The Research Engineering & Design Lab within Adobe Research is looking for a ... Knowledge of state-of-the-art machine learning methods for large scale multimodal models

Thinking Machines Lab information

See Redmond, WA salary details

$14

$25

$38

How much do thinking machines lab jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for thinking machines lab in Redmond, WA is $25.23, according to ZipRecruiter salary data. Most workers in this role earn between $20.48 and $27.21 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data scientist at Thinking Machines Lab, and why are they important?

To thrive as a Data Scientist at Thinking Machines Lab, you need expertise in statistics, machine learning, and data analysis, usually backed by a degree in computer science or a related field. Proficiency in Python, R, SQL, and experience with cloud platforms and data visualization tools are commonly required. Strong problem-solving abilities, communication skills, and a collaborative mindset help you deliver actionable insights and work effectively within teams. These skills and qualities are crucial for developing innovative solutions that drive impactful, data-driven decisions for clients.

What is the difference between Thinking Machines Lab vs Data Scientist?

AspectThinking Machines LabData Scientist
Required CredentialsAdvanced degrees in computer science, AI, or related fieldsDegree in statistics, computer science, or related fields; certifications like Certified Data Scientist
Work EnvironmentResearch labs, tech companies, AI-focused organizationsCorporate offices, tech firms, consulting agencies
Industry UsageAI research, machine learning development, innovation projectsData analysis, predictive modeling, business insights

Thinking Machines Lab primarily focuses on AI research and machine learning innovation, often within research institutions or tech companies. Data Scientists analyze data to generate insights and support business decisions. While both roles require strong technical skills and knowledge of machine learning, Thinking Machines Lab emphasizes research and development, whereas Data Scientists focus on applying data analysis to real-world problems.

What is Thinking Machines Lab?

Thinking Machines Lab is a data science and artificial intelligence consultancy that helps organizations leverage data to solve complex problems and drive innovation. Founded in the Philippines, the company offers services such as data engineering, machine learning, data visualization, and geospatial analytics. Their team works with businesses, governments, and NGOs to design custom solutions and build data-driven strategies. Thinking Machines Lab is known for its expertise in AI and its commitment to ethical and impactful technology.

What are the typical collaboration dynamics for team members at Thinking Machines Lab?

At Thinking Machines Lab, team members often work in cross-functional groups that include data scientists, engineers, designers, and project managers. Collaboration is highly encouraged through regular sprint meetings, project check-ins, and open communication channels. You can expect to engage with both internal colleagues and external clients to co-create data solutions, provide feedback, and iterate on project deliverables. This collaborative environment fosters learning and innovation, making it a great place for professionals who enjoy teamwork and problem-solving.
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Infographic showing various Thinking Machines Lab job openings in Redmond, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $52,485 per year, or $25.2 per hour.

Senior Robotics Research Scientist

Nvidia

Seattle, WA • On-site

$112K - $142K/yr

Full-time

Re-posted 21 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies


Job description

We are now looking for a Senior Robotics Research Scientist! NVIDIA is at the forefront of the AI and robotics revolution, and our robotics teams are on a mission to build the essential technology that can enable any company to become a robotics company. The Seattle Robotics Lab is focused on fundamental and applied robotics research across the full robotics stack, including perception, planning, control, reinforcement learning, imitation learning, and simulation. This research aims to transform research paradigms, transfer into NVIDIA's robotics and simulation products, and create new robotics markets for the world.

The Seattle Robotics Lab has led many influential works that have been presented at top robotics, AI, and computer vision conferences; these works include BayesSim, cuRobo, DeXtreme, DiSECT, Factory, GraspNet, ITPS, MimicGen, RVT, and SHAC. (See our publications page for a complete list.) The work has deeply impacted the research community and NVIDIA products, including Isaac Sim, Isaac Lab, and Isaac Manipulator. Furthermore, SRL collaborates closely with other research and engineering teams to advance and leverage the Cosmos and GR00T-N foundation models, as well as the Newton physics simulation engine. The team is targeting several grand challenges in robotics and is aiming to achieve never-before-seen capabilities within 2-3 years. We are looking for world-class senior research scientists to play a pivotal role in these efforts, providing both technical leadership and hands-on technical contributions. These scientists must have exceptional research and engineering skills, a proven research track record, strong supporting references, and a team-first mentality.

What you will be doing:

  • Developing algorithms, models, and methods for robotic manipulation and loco-manipulation, for both industrial and household applications;

  • Integrating these methods into real-world robotic manipulation systems, including those consisting of collaborative robot arms, industrial robot arms, mobile manipulators, humanoids, and dexterous hands;

  • Co-leading and contributing to multi-person research projects that require a diverse set of skills across the robotics and machine learning stack;

  • Engaging with the academic community through high-impact publications, conferences, workshops, and code releases;

  • Collaborating with product managers and engineering teams to transfer your research into NVIDIA products that will have real-world impact;

  • Mentoring interns and more junior research scientists and engineers.

What we need to see:

  • A PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field (or equivalent experience). At least 3 years of research experience after completing your PhD; 5+ years is preferred.

  • Deep knowledge of both the theory and practice of robotics and AI, with a strong interest in connecting your work to real-world robotics applications.

  • A proven track record of research excellence, with work published in top robotics and AI conferences and journals such as RSS, CoRL, ICRA, IROS, IJRR, T-RO, NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, and EMNLP.

  • Exceptional communication, collaboration, and interpersonal skills, with significant experience working on teams as both a leader and a contributor.

  • Exceptional programming skills in Python; in addition, familiarity with C++, CUDA, and Warp is a plus.

  • Fluency in modern deep learning frameworks such as PyTorch and JAX. Significant experience with robotics frameworks such as ROS2 and physics simulation frameworks such as Isaac Sim, Isaac Lab, and MuJoCo.

  • Deep comfort in working through the complexities of simulation and real-world robotics, including debugging physics simulators and renderers under rapid development; selecting, setting up, maintaining, and enhancing complex robotics hardware; debugging communication systems; and designing robust workflows for model training and evaluation.

Ways to stand out from the crowd:

  • Prior experience working with product managers and engineering teams to transfer research into products is a significant plus.

  • A history of successfully mentoring junior researchers, engineers, and/or interns.

  • Experience with one or more of the following research areas and applications, which are of particular interest:

    • Bimanual and dexterous manipulation

    • Mobile manipulation and humanoid loco-manipulation

    • Multisensory perception (e.g., vision, tactile, and force/torque sensing)

    • Simulation, sim-to-real, and real-to-sim

    • Vision-language-action (VLA) models, including architectural advancements, large-scale training, and test-time reasoning

    • Industrial applications, such as bin-picking, kitting, and assembly

The Seattle Robotics Lab is now located in a brand-new office in the vibrant Fremont neighborhood of Seattle. Widely considered to be one of the technology world's most desirable employers, NVIDIA has some of the most forward-thinking and hardworking people in the world inventing the future for us. Are you a creative and collaborative researcher interested in seeking new challenges? If so, we want to hear from you! Please join us and be at the forefront of robotics research that will impact both industry and academia!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 24, 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