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Physics Phd Jobs in Bothell, WA (NOW HIRING)

Systems Engineer V

Redmond, WA · On-site

$80 - $85/hr

BSc/MSc/PhD in Physics, Mathematics, Aerospace Engineering, Optical Sciences, Electrical Engineering, Computer Science or a related experience * Track record of software development following ...

Systems Engineer V

Redmond, WA · On-site

$80 - $85/hr

BSc/MSc/PhD in Physics, Mathematics, Aerospace Engineering, Optical Sciences, Electrical Engineering, Computer Science or a related experience * Track record of software development following ...

Required : • PhD in Physics, Engineering, Applied Math, Computational Science, Machine Learning, or related field with emphasis on physics‑grounded modeling • 10+ years of industry or ...

Required : • PhD in Physics, Engineering, Applied Math, Computational Science, Machine Learning, or related field with emphasis on physics‑grounded modeling • 3+ years of industry or ...

Required : • PhD in Physics, Engineering, Applied Math, Computational Science, Machine Learning, or related field with emphasis on physics‑grounded modeling • 10+ years of industry or ...

MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline * Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl * Strong ...

Showing results 41-60

Physics Phd information

See Bothell, WA salary details

$12.3K

$68.4K

$105.6K

How much do physics phd jobs pay per year?

As of Aug 23, 2026, the average yearly pay for physics phd in Bothell, WA is $68,370.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,400.00 and $72,100.00 per year, depending on experience, location, and employer.

What is a physics PhD?

A Physics PhD job typically involves advanced research, problem-solving, and analytical work in academia, industry, or government. Common roles include research scientist, data analyst, professor, and engineer in fields like aerospace, biotech, finance, and energy. These jobs require expertise in mathematical modeling, programming, and experimental techniques. Many Physics PhDs work on cutting-edge technologies, simulations, and theoretical advancements that drive innovation in science and engineering.

What types of projects or research areas can physics PhDs expect to work on?

Physics PhDs often work on a broad range of projects, such as experimental and theoretical research in condensed matter, quantum mechanics, astrophysics, or materials science, depending on the employer and area of specialization. You may be involved in designing and conducting experiments, developing simulations, publishing findings, and collaborating with other scientists or engineers. Many positions offer opportunities to lead interdisciplinary teams or participate in cutting-edge technology development. The day-to-day work is often dynamic, with tasks varying between data analysis, grant preparation, presentations, and mentorship. Over time, there are strong opportunities for career advancement to roles such as principal investigator, research director, or technical lead in academia, government, or industry.

What are the key skills and qualifications needed to thrive in the physics PhD position, and why are they important?

To thrive as a Physics PhD, you need advanced expertise in physics concepts, analytical problem-solving abilities, and a doctoral degree in physics or a closely related field. Strong proficiency with data analysis software (such as MATLAB, Python, or LabVIEW), scientific instrumentation, and publication or grant-writing systems is typically required. Excellent communication, perseverance, and the ability to collaborate in interdisciplinary teams set top candidates apart. These skills are essential for driving research, contributing to innovation, and succeeding in both academic and industry settings.

Are physics PhDs employable?

Physics PhDs are highly employable in various fields including academia, research, data analysis, engineering, and technology. They develop skills in problem-solving, quantitative analysis, and technical communication, which are valued across many industries. Job prospects often depend on specialization, experience, and additional skills such as programming or laboratory techniques.

Do physics PhD students get paid?

Physics PhD students often receive stipends or assistantships that provide a salary or financial support during their studies, typically in exchange for research or teaching duties. The amount and source of funding vary by institution and program, but paid positions are common in graduate physics programs. These stipends help cover living expenses while students focus on their research and coursework.

Is a physics PhD worth it?

A physics PhD prepares individuals for careers in research, academia, and industry, often requiring strong analytical and problem-solving skills. While it can lead to high-level positions, the degree involves significant time and financial investment, and job prospects vary depending on specialization and market demand.

What job categories do people searching Physics Phd jobs in Bothell, WA look for?

The top searched job categories for Physics Phd jobs in Bothell, WA are:

What cities near Bothell, WA are hiring for Physics Phd jobs?

Cities near Bothell, WA with the most Physics Phd job openings:

Infographic showing various Physics Phd job openings in Bothell, WA as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 27% Part Time, and 2% Contract. Highlights an 74% Physical, 4% Hybrid, and 22% Remote job distribution, with an average salary of $68,370 per year, or $32.9 per hour.

Research Scientist, Robotics Research - PhD New College Grad 2026

NVIDIA Gruppe

Seattle, WA • On-site

$168 - $265/hr

Other

Posted 5 days ago


Job description

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;
  • 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 joining NVIDIA during their PhD programs.
What we need to see:
  • Completing a PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field (or equivalent experience).
  • A strong research track record, 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 programming skills in Python, as well as proficiency in modern deep learning frameworks (PyTorch or JAX), robotics frameworks (ROS or ROS2), and physics simulation frameworks (Isaac Sim/Lab or MuJoCo). Familiarity with C++, CUDA, and Warp is a plus.
  • Exceptional communication, collaboration, and interpersonal skills, with significant experience working on teams.
  • 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 real-world communication systems; and designing robust workflows for model training and evaluation.
The following research areas and applications 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

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 passionate about fundamental and applied robotics research across the full robotics stack, including perception, planning, control, reinforcement learning, imitation learning, and simulation. This research strives to transform research paradigms, transfer into NVIDIA’s robotics and simulation products, and build 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 use 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 research scientists to play a pivotal role in these efforts. These scientists must have outstanding research and engineering skills, a proven research track record, strong supporting references, and a team-first approach.

The Seattle Robotics Lab is now located in a brand-new office in the vibrant Fremont neighborhood of Seattle.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 28, 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.

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