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Remote Electrical Engineer Nvidia Jobs in Baltimore, MD

HBK Engineering, LLC

Design Engineer

Baltimore, MD · On-site +1

HBK provides civil, environmental, structural, electrical, subsurface utility, construction support ... Understanding of remote communication software * Ability to quickly come up to speed on in-process ...

Flex Ltd.

Principal Systems Engineer

Middle River, MD · On-site +1

$150K - $206.30K/yr

... remote) Reporting to the Director, Field Applications the Principal Systems Engineer will be ... Bachelor's degree in electrical engineering (or equivalent), Master's preferred * 8+ years of ...

ABB

Commercial Proposal Engineer

Baltimore, MD · Remote

This is a remote position. #Li-Remote This role is contributing to the Electrification Smart ... Strong technical expertise in electrical distribution systems, including ABB's product portfolio ...

Quanta Services

Design Engineer

Baltimore, MD · On-site +1

HBK provides civil, environmental, structural, electrical, subsurface utility, construction support ... Understanding of remote communication software * Ability to quickly come up to speed on in-process ...

Solar Landscape

Solar Project Engineer

Baltimore, MD · On-site +1

Coordinate with structural, electrical, geotechnical, and civil Professional Engineers during ... Flexible remote/hybrid work options · Paid parental leave · Team lunches, events, and stocked ...

Solar Landscape

Solar Project Engineer

Baltimore, MD · On-site +1

$80K - $110K/yr

Coordinate with structural, electrical, geotechnical, and civil Professional Engineers during ... remote/hybrid work options Paid parental leave Team lunches, events, and stocked kitchens Modern ...

Pivot Energy

Solar Project Engineer II

Baltimore, MD · Remote

Conduct on-site and remote inspections on active construction sites and operational assets to ... Knowledge of AC and DC electrical design and equipment. * Knowledge of utility distribution ...

Cisco

Security Research Engineer

Fulton, MD · On-site +1

$146.70K - $214.80K/yr

This is a fully remote role based in the United States Meet The Team As a member of Talos, you will ... Bachelor's degree or equivalent in Computer Science, Electrical Engineering, Cyber Security, or ...

Cisco

Security Research Engineer

Fulton, MD · On-site +1

$146.70K - $214.80K/yr

This is a fully remote role based in the United States.Meet The TeamAs a member of Talos, you will ... Preferred QualificationsBachelor's degree or equivalent in Computer Science, Electrical Engineering ...

ABB

Senior Project Engineer

Baltimore, MD · On-site +1

$98.40K - $128.20K/yr

Remote This role is contributing to the Electrification division in the United States. You will be ... Bachelor's degree in electrical engineering, Automation, or related field (or equivalent work ...

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All JobsRemote Electrical Engineer Nvidia JobsRemote Electrical Engineer Nvidia Jobs in Baltimore, MD

Remote Electrical Engineer Nvidia information

See Baltimore, MD salary details

$50.2K

$110.4K

$166.9K

How much do remote electrical engineer nvidia jobs pay per year?

As of May 28, 2026, the average yearly pay for remote electrical engineer nvidia in Baltimore, MD is $110,384.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,500.00 and $131,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Electrical Engineer at Nvidia, and why are they important?

To thrive as a Remote Electrical Engineer at Nvidia, you need a strong background in electrical engineering principles, circuit design, and experience with hardware development, typically supported by a relevant engineering degree. Proficiency with CAD tools (such as Altium Designer or Cadence), simulation software, and familiarity with industry standards is usually required, along with certifications like Professional Engineer (PE) being advantageous. Excellent problem-solving, self-motivation, and effective virtual communication are crucial soft skills for collaborating with distributed teams and managing complex projects remotely. These competencies ensure high-quality, innovative hardware solutions and seamless teamwork in Nvidia’s fast-paced, technology-driven environment.

What are some common challenges faced by remote Electrical Engineers at Nvidia, and how can they be effectively addressed?

Remote Electrical Engineers at Nvidia often encounter challenges such as maintaining clear communication with cross-functional teams, staying aligned with hardware development timelines, and accessing specialized lab equipment. To address these, Nvidia provides robust collaboration tools, schedules regular virtual team meetings, and may offer remote access to lab resources or coordinate periodic on-site visits. Proactive communication and strong organizational skills are key to thriving in this remote environment, ensuring projects stay on track and technical issues are resolved efficiently.

What does a Remote Electrical Engineer at Nvidia do?

A Remote Electrical Engineer at Nvidia is responsible for designing, developing, and testing electrical components and systems used in Nvidia's products, such as GPUs, data center hardware, and AI platforms. Working remotely, they collaborate with cross-functional teams to optimize circuit designs, ensure product reliability, and solve complex engineering challenges. These engineers also use simulation tools, review schematics, and contribute to the full product development lifecycle, all while communicating effectively with colleagues across different locations.

What is the difference between Remote Electrical Engineer Nvidia vs Remote Electronics Engineer Nvidia?

AspectRemote Electrical Engineer NvidiaRemote Electronics Engineer Nvidia
Required CredentialsBachelor's in Electrical Engineering, relevant certificationsBachelor's in Electronics Engineering, similar certifications
Work EnvironmentDesign, testing, and development of electrical systemsDesign and testing of electronic components and circuits
Employer & Industry UsageUsed in hardware development, system integrationUsed in circuit design, embedded systems
Common Search & ComparisonOften compared for electrical hardware rolesOften compared for electronic circuit roles

Remote Electrical Engineer Nvidia and Remote Electronics Engineer Nvidia share overlapping skills and work environments, but focus on different aspects of hardware development. Electrical engineers typically work on power systems and larger hardware, while electronics engineers focus on circuit design and embedded systems. Both roles are vital in Nvidia's hardware innovation and are often searched together by professionals in hardware development.

What are the most commonly searched types of Electrical Engineer Nvidia jobs in Baltimore, MD? The most popular types of Electrical Engineer Nvidia jobs in Baltimore, MD are:
What are popular job titles related to Remote Electrical Engineer Nvidia jobs in Baltimore, MD? For Remote Electrical Engineer Nvidia jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Remote Electrical Engineer Nvidia jobs in Baltimore, MD look for? The top searched job categories for Remote Electrical Engineer Nvidia jobs in Baltimore, MD are:
Remote Electrical Engineer Nvidia jobs near you
Infographic showing various Remote Electrical Engineer Nvidia job openings in Baltimore, MD as of May 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 38% Physical, 1% Hybrid, and 61% Remote job distribution, with an average salary of $110,384 per year, or $53.1 per hour.

Software Engineer - TS/SCI with Poly with Security Clearance

Staffed4U LLC

Annapolis Junction, MD • On-site, Remote

Other

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

Job description

Software Engineer $160k- $230k Location: Annapolis Junction, MD Clearance Required: TS/SCI with Polygraph Experience Level: 7+ years of experience Education: Bachelor's degree in Computer Science, Engineering, or related field Position Summary: We are seeking a skilled and mission-driven Software Engineer to support the ML Frameworks team. In this role, you will contribute to the design, development, and deployment of a Retrieval-Augmented Generation (RAG) solution within a high-performance computing (HPC) Linux environment. This position is ideal for someone with a strong Linux background and a passion for AI/ML technologies, especially Large Language Models (LLMs) and secure AI systems.

Primary Responsibilities: Contribute to the development and deployment of secure RAG pipelines in an HPC Linux environment Work with cutting-edge AI/ML technologies, including LLM orchestration frameworks, embedding models, and inference platforms Develop and maintain services using Python and Golang Build and manage containerized services using Docker, Podman, and containerd Deploy services using orchestration tools like Kubernetes and Docker Compose Automate and monitor workflows with CI/CD pipelines, using GitLab CI and version control with Git Integrate monitoring tools such as Prometheus and Grafana for performance and reliability Participate in system administration, including Linux CLI, shell scripting, and general support tasks Required Qualifications: Active TS/SCI clearance with Polygraph Bachelor's degree in Computer Science, Engineering, or a related technical field 7+ years of professional software engineering experience Strong experience with Linux system administration, CLI, and shell scripting Proficiency in Python and Golang Familiarity with RAG pipelines, LLMs, and knowledge retrieval systems Experience with containerization technologies and orchestration tools (Docker, PodMan, Kubernetes, Docker Compose) Solid understanding of CI/CD principles and related tools (GitLab CI) Experience with metrics and monitoring tools (e.g., Prometheus, Grafana) Experience using Git for version control Desired Skills & Technologies: Experience with GPU-enabled applications and debugging tools Familiarity with LLM orchestration frameworks and OpenAPI Experience with distributed processing frameworks such as Spark, Dask, or Ray Familiarity with SQL, Elasticsearch, and vector databases Experience with HTMX or Hyperscript Understanding of multi-node, multi-GPU AI training environments Knowledge of AI inferencing platforms such as Nvidia NIM/TRITON, vLLM, or Ray-based deployment Experience with the Atlassian suite (Confluence, Jira) Our client offers a highly competitive and comprehensive benefits package designed to support your personal and professional growth, while promoting a healthy work-life balance. Benefits include: 100% Employer-Paid Health, Dental, and Vision Insurance - Full coverage for employees Zero Vesting 401(k) Plan with 10% Company Contribution - Immediate access to all contributions 31 Days of Paid Time Off - Includes vacation, personal time, and all federal holidays Student Loan Repayment Assistance - Helping you pay down your educational debt Unlimited Certification & Training Support - Invest in your professional development Flexible Work Environment - Remote work options and flexible scheduling available Multiple Incentive Bonuses - Performance-based rewards throughout the year Exclusive Company Memberships - Access to curated memberships and employee perks This package reflects our client's commitment to empowering their employees with meaningful benefits and recognizing outstanding performance. We are an Equal Opportunity Employer.

We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected status under applicable law.

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