2

Internship Remote Rf Engineer Jobs in San Jose, CA

High_Speed Lab Manager

Mountain View, CA · Remote

$175K - $362K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... RF/coaxial connectors). * Execute Engineering Change Orders (ECOs) on prototype PCBs and SVKs ... Remote Setup: Configure instruments (GPIB/LAN/USB), validate automation scripts, and troubleshoot ...

Human Resources Intern

Oakland, CA · On-site +1

$30 - $35/hr

  • Retirement

  • PTO

Internship Summary: As a Human Resources Intern, you will gain structured, hands-on exposure to the ... energy engineering firm. Working under the direct supervision of experienced HR staff, you'll ...

New

... remote positions. Location options will be dependent on the internship project topic. The ... Experience programming in Python, C++ or similar languages. * Competent use of collaborative ...

Enrolled in an MS or PhD program pursuing a degree in Computer Science, Data Science, Engineering ... Open to Remote Expected Contract Length: 12-months (this is a part -time role that is project based ...

Showing results 41-60

Internship Remote Rf Engineer information

See San Jose, CA salary details

$12

$22

$34

How much do internship remote rf engineer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for internship remote rf engineer in San Jose, CA is $22.64, according to ZipRecruiter salary data. Most workers in this role earn between $18.89 and $24.52 per hour, depending on experience, location, and employer.

Is it hard to become an internship remote RF engineer?

Becoming a remote RF engineering internship typically requires a strong foundation in electrical engineering, familiarity with RF design and testing tools, and relevant coursework or projects. While competitive, gaining relevant skills and certifications can improve chances, but the difficulty varies based on individual background and the company's requirements.

Is remote RF engineering in demand?

Remote RF engineering is in demand due to the growth of wireless communication, 5G deployment, and IoT technologies. Professionals with skills in signal processing, antenna design, and RF testing are sought after, and remote work options are increasingly available in this field.

What are the key skills and qualifications needed to thrive as a remote RF engineer intern?

To excel as an Internship Remote RF Engineer, you need a solid understanding of radio frequency (RF) principles, basic circuit design, and a relevant engineering degree or coursework in electrical or telecommunications engineering. Familiarity with RF simulation tools like CST, HFSS, or ADS, as well as experience with measurement equipment such as spectrum analyzers and network analyzers, is often required. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns work well in remote teams and contribute to technical discussions. These competencies are crucial for ensuring accurate RF system design, troubleshooting, and successful collaboration in a virtual work environment.

What is a remote RF engineer internship?

A remote RF (Radio Frequency) engineer internship is a training position where interns work from a remote location to assist in designing, analyzing, and testing wireless communication systems and devices. Interns may work on tasks such as signal propagation analysis, antenna design, and troubleshooting RF circuits, all while collaborating with teams virtually. These internships provide practical experience with industry-standard software tools and exposure to telecommunication technologies, preparing students for a career in RF engineering.

What is the difference between Internship Remote Rf Engineer vs Rf Engineer?

AspectInternship Remote Rf EngineerRf Engineer
CredentialsTypically pursuing or recently completed relevant degreeBachelor's or Master's in Electrical Engineering or related field, with experience
Work EnvironmentRemote, internship setting, limited responsibilitiesOn-site or hybrid, full responsibilities in RF design and testing
Employer UsageInternship programs in telecom and electronics companiesFull-time roles in telecom, wireless, and electronics industries

The main difference is that an Internship Remote Rf Engineer is a temporary, entry-level position aimed at gaining experience, often remote, while an Rf Engineer is a full-time professional responsible for RF system design, testing, and optimization in a more permanent capacity.

What is the average salary of an internship remote RF engineer in the US?

The average salary for a remote RF engineering internship in the US typically ranges from $3,000 to $6,000 per month, depending on the company, location, and candidate experience. Interns often gain hands-on experience with RF design, testing, and related tools during their internship period.

What types of projects and responsibilities can I expect as a remote RF engineer intern?

As a remote RF Engineer intern, you will typically work on tasks such as assisting with the design, simulation, and testing of radio frequency circuits and systems. You may be involved in analyzing signal performance, troubleshooting issues, and supporting documentation for ongoing projects. Collaboration with senior engineers and cross-functional teams is common, often through virtual meetings and shared platforms. This exposure provides valuable hands-on experience and insights into the workflow of RF engineering in a professional setting.

What cities near San Jose, CA are hiring for Internship Remote Rf Engineer jobs?

Cities near San Jose, CA with the most Internship Remote Rf Engineer job openings:

Staff ML Infrastructure Engineer - Embodied AI Scaling Foundations

General Motors

Sunnyvale, CA • On-site, Remote

$189K - $290K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago


General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 306 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,282 frontline employees who took The Breakroom Quiz


Job description

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt.We'returningtoday'simpossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of peopleas we aim to makedriving safer, smarter, and more connected, shaping the future of transportation on a global scale.

Role:

Are you passionate about accelerating the future of autonomous driving? Join the Embodied AI team at General Motors. Our team is developing and deploying machine learning solutions that support safe and reliable autonomous vehicle behavior across real-world scenarios.

As a Staff ML Infra Engineer, you willdrive the development of core systems that enable rapiddataset generation,training, evaluation, and iteration of our most advanced Autonomous Driving models.Fromenablinglargefoundational drivingmodels todistilling multi-stage production deployedmodels,yourgoalwill be todramatically accelerate the machine learning development cyclefrom one modeling hypothesis to next.

You will deliver model training pipelinesthat are performant, easy to use, and exceptionally reliable.Your success will be measured by the velocity and impact of the ML models that rely on the scalable, intuitive, and highperformance training platforms you help create.

What you'll do:

  • Lead the design, implementation, and deployment of scalable platforms and tools that drive machine learning model training and evaluation workflows across GM.

  • Own complex technical projects end-to-end, making key architectural decisions and technical trade-offs. You will be a core contributor to team planning, design reviews, and code quality.

  • Take a holistic view of projects, considering their impact across multiple teams, and across a longer timeline.

  • Proactively drive technical prioritization. Collaborate closely with partner teams to ensure maximum benefit from the systems we build.

  • Help shape our team through technical interviewing with high, well-calibrated standards, and play an essential role in recruiting.

  • Mentor and onboard junior engineers and interns, helping them grow their careers.

What you'll bring:

  • 5+ years of experience building large-scale distributed systems, applications, or advanced ML systemsscale distributed systems, applications, or advanced ML systems

  • Proventrack recordof designing robust frameworks with high-quality, durable APIs.

  • Deep understanding of machine learning algorithms with handson application

  • Expertisein building reliable, high-performance, and cost-efficient systems on modern cloudinfrastructureperformance

  • End-to-end experience across the ML development lifecycle, includingMLOpspractices

  • Strong cross functional collaboration skills across teams andorganizations

  • Exceptional coding skills in Python or C++

  • Strong interest in autonomous driving and its transformative potential

  • BS, MS, or PhD in Computer Science, Mathematics, or equivalent practical experience

Nice to have:

  • Experience with distributed training methodologies

  • Experience scaling ML training across large GPU/CPU clusters or other accelerators

  • Familiarity with deep learning frameworks (e.g.,PyTorch, TensorFlow)

  • Experience with performance profiling andstate-of-the-arttraining optimization techniques, including their impact on model performance oftheart training optimization techniques, including their impact on convergence.

  • Experience with advanced build systems (e.g., Bazel, Buck, Blaze,CMake)

  • Proficiencywith containerization and orchestration technologies (e.g., Docker, Kubernetes)

Remote/Hybrid: This role is categorized as fully remote or hybrid.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paidin accordance withapplicable state laws. The compensation may not berepresentative for positionslocatedoutside of the California Bay Area.

  • The salary range for this role is $189,300.00 to $290,700.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

  • Bonus Potential: An incentivepayprogram offers payouts based on company performance, job level, and individual performance.

Benefits:

  • GM offers a variety of health and wellbeing benefit programs.Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuitionassistanceprograms, employeeassistanceprogram, GM vehicle discounts and more.

Relocation: This job may be eligible forrelocationbenefits.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible toparticipatein a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participantsare required topurchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

#GM-AV-1

#LI-CX1

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.


Working at General Motors


What General Motors employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


General Motors logo

About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908