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Remote Wireless Research Engineer Jobs in California

Tempus

Scientist II, Translational Research

Redwood City, CA · On-site +1

$100K - $150K/yr

Work with Product and Engineering teams to streamline workflow of computational analyze Contribute ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Tilda Research

About Tilda Research We are a clinical trial network built from the ground up, suitable for the ... Remote first * Flexible PTO and hours Employment Type: FULL_TIME

Cypress HCM

5G Algorithm Engineer

Redwood City, CA · On-site +1

Remote USA Employees : Industry : Wireless services Position Reporting To: Algorithm Engineering ... PhD in Electrical Engineering or Applied Mathematics, or equivalent research experience. * Focused ...

FAR.AI

$120K - $190K/yr

We conduct pre-deployment testing on behalf of frontier developers such as OpenAI and independent ... Both remote and in-person (Berkeley, CA or Singapore) are possible. We sponsor visas for in-person ...

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Remote Wireless Research Engineer information

What does a remote wireless research engineer do?

A Remote Wireless Research Engineer is responsible for studying, designing, and developing new wireless communication technologies, often while working remotely. They analyze wireless signal protocols, optimize network performance, and contribute to advancements in areas such as 5G, IoT, or Wi-Fi. Their work may include running simulations, developing prototypes, and collaborating with other engineers to solve complex technical problems. These engineers play a key role in improving the reliability, speed, and security of wireless networks, enabling better connectivity for devices and users.

What are the key skills and qualifications needed to thrive as a remote wireless research engineer, and why are they important?

To excel as a Remote Wireless Research Engineer, a strong background in wireless communication principles, signal processing, and a degree in electrical engineering or a related field are essential. Familiarity with technical tools such as MATLAB, Python, wireless simulation platforms, and knowledge of protocols like 5G or Wi-Fi, as well as relevant certifications (e.g., CWNA), are typically required. Strong problem-solving abilities, self-motivation, and effective remote communication skills distinguish top performers in this role. These competencies are vital for advancing wireless technology solutions, conducting independent research, and collaborating efficiently with distributed teams.

What are some common challenges faced by a remote wireless research engineer, and how can they be addressed?

One common challenge for Remote Wireless Research Engineers is ensuring effective collaboration with multidisciplinary teams while working remotely. Since much of the research involves coordination with hardware, software, and network specialists, clear communication and proactive updates are essential. Additionally, staying current with rapidly evolving wireless technologies and standards can be demanding, so regularly participating in virtual conferences and training is beneficial. Adopting collaborative tools and establishing routine check-ins helps maintain alignment and drive successful project outcomes.

What is the difference between Remote Wireless Research Engineer vs Wireless Systems Engineer?

AspectRemote Wireless Research EngineerWireless Systems Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science; knowledge of wireless protocolsBachelor's or Master's in Electrical Engineering, Computer Science; expertise in wireless systems
Work EnvironmentResearch labs, remote collaboration, R&D teamsDesign, testing, and deployment in labs or field
Employer & Industry UsageTech companies, research institutions, telecom firmsTelecom providers, hardware manufacturers, network providers
Search & Comparison IntentResearch, innovation, wireless protocol developmentSystem design, deployment, network optimization

The Remote Wireless Research Engineer focuses on developing new wireless technologies and protocols in research settings, often working remotely. In contrast, the Wireless Systems Engineer applies wireless knowledge to design, implement, and optimize wireless networks and systems. Both roles require similar educational backgrounds and industry experience but differ in their primary focus—research versus practical deployment.

What are the most commonly searched types of Wireless Research Engineer jobs in California?

The most popular types of Wireless Research Engineer jobs in California are:

What cities in California are hiring for Remote Wireless Research Engineer jobs?

Cities in California with the most Remote Wireless Research Engineer job openings:

Remote Wireless Research Engineer jobs near you

RL Environment Software Engineer

talentpluto

San Francisco, CA • Remote

$220K - $400K/yr

Full-time

Re-posted 21 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.

Apply