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Remote Matlab Simulation Engineer Jobs in Oakland, CA

The Power Systems and Controls Engineer will serve as a key technical leader in power system ... This position is remote. Key Responsibilities * Lead the power system modeling and simulation ...

ZOA Remote Pilot Operator

Fremont, CA · On-site +1

$40K - $80K/yr

... training simulator. The RPO operates a combination of a simulated radar display and voice ... Experience working in a multidisciplinary team (Multimedia Developers, Quality Assurance ...

New

ZOA Remote Pilot Operator

Fremont, CA · Remote

$40K - $80K/yr

... training simulator. The RPO operates a combination of a simulated radar display and voice ... Experience working in a multidisciplinary team (Multimedia Developers, Quality Assurance ...

New

Emulation Engineer

Mountain View, CA · On-site +1

$175K - $450K/yr

Develop HW/SW co-emulation and co-simulation flows using RTL, software/reference models (Rust, C/C ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

Title - Lead ASIC DFT Engineer Location - Remote (must be aligned with PST time zone) Below is the ... Support ATPG pattern generation, ATPG simulations, DRC analysis, test coverage analysis, and ...

Showing results 41-60

Remote Matlab Simulation Engineer information

See Oakland, CA salary details

$44.8K

$141.7K

$218.8K

How much do remote matlab simulation engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote matlab simulation engineer in Oakland, CA is $141,721.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,700.00 and $168,300.00 per year, depending on experience, location, and employer.

What is the difference between Remote Matlab Simulation Engineer vs Remote Data Analyst?

AspectRemote Matlab Simulation EngineerRemote Data Analyst
Required SkillsMatlab, simulation, modeling, programmingData analysis, statistics, Excel, SQL
Work EnvironmentEngineering teams, simulation labs, R&DBusiness teams, data warehouses, reporting tools
Industry UsageEngineering, aerospace, automotive, researchFinance, marketing, healthcare, tech

The Remote Matlab Simulation Engineer primarily focuses on developing and running simulations using Matlab for engineering projects, while the Remote Data Analyst interprets data to support business decisions. Both roles require analytical skills but differ in technical tools and industry applications. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What are the most commonly searched types of Matlab Simulation Engineer jobs in Oakland, CA?

The most popular types of Matlab Simulation Engineer jobs in Oakland, CA are:

What are popular job titles related to Remote Matlab Simulation Engineer jobs in Oakland, CA?

For Remote Matlab Simulation Engineer jobs in Oakland, CA, the most frequently searched job titles are:

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The top searched job categories for Remote Matlab Simulation Engineer jobs in Oakland, CA are:

What cities near Oakland, CA are hiring for Remote Matlab Simulation Engineer jobs?

Cities near Oakland, CA with the most Remote Matlab Simulation Engineer job openings:

RL Environment Software Engineer

talentpluto

San Francisco, CA • Remote

$220K - $400K/yr

Full-time

Re-posted 22 days ago


Job description

Location: Remote (United States)

Work Model: Remote

Industry: Applied AI / AI research data

Compensation: $180K-$220K base, ~$400K+ OTE (uncapped profit share)

About the Company

Our partner is a fast-growing applied AI research lab that builds high-quality reinforcement-learning environments and agents sold to the world's leading AI labs. In under two years they have scaled to a nine-figure revenue run rate and grown their team severalfold in a matter of months, backed by leading venture investors. Quality is their core differentiator, and they are rapidly expanding into new domains.

The Opportunity

As an RL Environment Software Engineer, you will sit at the intersection of research engineering and traditional software engineering, building the environments that simulate real-world workflows and the agents that automate them. This is forward-looking work, you will help research and predict what high-quality environments the frontier will need next, then build them from the ground up.

You will join a brand-new RL team being assembled with exceptional talent, with a clear path to grow alongside it as the function scales into industry pods.

Responsibilities
  • Design and build high-quality RL environments that simulate real working environments end to end.
  • Develop agents for the tasks within those environments and iterate until they are efficient and production-ready.
  • Partner with the research team to scope which environments to build and why, staying ahead of future demand rather than only meeting present needs.
  • Own the backend and infrastructure layers that make environments reliable and scalable.
  • Help set engineering standards for a zero-to-one team as the RL function grows.
Requirements
  • Strong machine-learning engineers who code heavily and build systems from scratch, with strong intuition for reinforcement learning.
  • Proficiency across a modern stack, Node.js and Python on the backend and React/TypeScript on the frontend, with strong Kubernetes and Docker skills.
  • Comfort operating in a fast-paced startup environment with high ownership and long hours.
  • A track record of meaningful tenure and impact at previous companies.
  • Reinforcement-learning experience or an RL research background is a strong plus, though not required.
  • Bachelor's degree in computer science or a related technical field, or equivalent practical experience.