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Remote Nvidia Engineering Jobs in California (NOW HIRING)

Snarkify

Senior Software Engineer - CUDA

Palo Alto, CA · On-site +1

$144K - $189K/yr

In this role, you will collaborate with our engineering team to identify performance bottlenecks ... Experience with profiling and debugging tools for GPU applications, such as NVIDIA Nsight.

NTT DATA Services

AI Application Engineer

Santa Clara, CA · On-site +1

$104K - $218K/yr

This role will focus on production-grade LLM application engineering, RAG quality, prompt ... Integrate NVIDIA technologies including NIM, NeMo, NeMoGuardrails, and Riva into enterprise AI ...

RadixArk

Full Stack Engineer

Palo Alto, CA · On-site +1

... engineering experience * Based in Palo Alto, CA (Hybrid) / Remote (U.S.) * Deep experience in ... We're backed by well-known infrastructure investors and partner with NVIDIA, Google, AWS, and ...

RadixArk

Full Stack Engineer

Palo Alto, CA · On-site +1

... engineering experience * Based in Palo Alto, CA (Hybrid) / Remote (U.S.) * Deep experience in ... We're backed by well-known infrastructure investors and partner with NVIDIA, Google,AWS,and ...

Saga

Senior Platform Engineer

Los Altos, CA · On-site +1

$123K - $169K/yr

... NVIDIA, and Skuchain - and we're looking to grow as we scale Mino to millions of users ... We offer a flexible, remote working environment. You can expect a warm welcome from a friendly and ...

Saga

Senior Platform Engineer

Los Altos, CA · On-site +1

$123K - $169K/yr

... NVIDIA, and Skuchain - and we're looking to grow as we scale Mino to millions of users ... We offer a flexible, remote working environment. You can expect a warm welcome from a friendly and ...

NTT DATA Services

AI Application Engineer

Santa Clara, CA · On-site +1

$104K - $218K/yr

This role will focus on production-grade LLM application engineering, RAG quality, prompt ... Integrate NVIDIA technologies including NIM, NeMo, NeMoGuardrails, and Riva into enterprise AI ...

ReadMe

Enterprise Support Engineer

San Francisco, CA · On-site +1

San Francisco (Hybrid), New York (Hybrid), Columbus (Hybrid), or Remote (US) We're growing our ... If you've ever visited the developer docs for PagerDuty, Samsara, or Nvidia, you've used ReadMe! We ...

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Work with cross-functional engineering teams to integrate ML components into robotics software ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Work with cross-functional engineering teams to integrate ML components into robotics software ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Work with cross-functional engineering teams to integrate ML components into robotics software ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

ReadMe

Full Stack Engineer, AI

San Francisco, CA · On-site +1

San Francisco (Hybrid), New York (Hybrid), Columbus (Hybrid), or Remote (US) We're hiring a Full ... If you've ever visited the developer docs for PagerDuty, Samsara, or Nvidia, you've used ReadMe! We ...

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Remote Nvidia Engineering information

What is a Remote Nvidia Engineer?

A Remote Nvidia Engineer is a professional who works for Nvidia, or with Nvidia technologies, from a location outside of a traditional office setting. These engineers may specialize in areas such as GPU development, AI research, software engineering, or hardware design, and they collaborate with teams virtually. Remote Nvidia Engineers use digital tools to communicate, manage projects, and contribute to cutting-edge technologies in graphics processing, artificial intelligence, and computing platforms. The remote aspect allows for flexible work arrangements and the ability to participate in global projects.

What are some common challenges faced by engineers working remotely for Nvidia, and how can they be overcome?

Remote engineers at Nvidia often encounter challenges related to communication across time zones, staying aligned with fast-paced project developments, and maintaining visibility within distributed teams. To overcome these, it's important to proactively engage in virtual meetings, leverage collaboration tools like Slack and Jira, and regularly update your team on progress. Building strong relationships with peers and seeking out mentorship opportunities can also help remote engineers stay connected and advance within the company.

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

To excel as a Remote Nvidia Engineer, you typically need a strong background in computer engineering, programming (e.g., C++, Python), and experience with GPU architectures, often supported by a relevant degree. Familiarity with Nvidia tools like CUDA, cuDNN, and deep learning frameworks, as well as proficiency in remote collaboration platforms, are crucial. Strong problem-solving skills, self-motivation, and effective communication are vital soft skills for working independently and collaborating across distributed teams. These competencies ensure efficient development, troubleshooting, and innovation in Nvidia's complex, high-performance computing environments.

What is the difference between Remote Nvidia Engineering vs Remote Nvidia Data Scientist?

AspectRemote Nvidia EngineeringRemote Nvidia Data Scientist
Required CredentialsBachelor's in Engineering, Computer Science, or related field; experience with GPU programmingBachelor's or higher in Data Science, Statistics, or related; proficiency in machine learning and data analysis
Work EnvironmentDesign, develop, and optimize GPU hardware/software; collaborative teamsAnalyze large datasets, develop models, and generate insights; often cross-functional teams
Employer & Industry UsagePrimarily in hardware, AI, and high-performance computing sectorsPrimarily in AI, analytics, and research sectors

Remote Nvidia Engineering focuses on hardware and software development for GPUs, requiring engineering credentials and technical skills. Remote Nvidia Data Scientists analyze data and build models, requiring expertise in data science. Both roles are remote, but they serve different functions within Nvidia's ecosystem.

What are the most commonly searched types of Nvidia Engineering jobs in California? The most popular types of Nvidia Engineering jobs in California are:
What are popular job titles related to Remote Nvidia Engineering jobs in California? For Remote Nvidia Engineering jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Nvidia Engineering jobs in California look for? The top searched job categories for Remote Nvidia Engineering jobs in California are:
What cities in California are hiring for Remote Nvidia Engineering jobs? Cities in California with the most Remote Nvidia Engineering job openings:
Remote Nvidia Engineering jobs near you
Senior Technical Alliances Lead, Security & AI (Remote: San Fran/West Coast)

Senior Technical Alliances Lead, Security & AI (Remote: San Fran/West Coast)

Veeam Software

San Francisco, CA • Remote

Other

Posted 15 days ago

Veeam Software rating

8.9

Company rating: 8.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

26th of 189 rated software companies

Job description

About the Role

The Senior Technical Alliances Lead, Security & AI shapes the global technical strategy and execution for Veeam's strategic security and AI ecosystem alliances. The role ensures strong solution alignment, integrations, interoperability, and validated joint designs that support enterprise customer needs.

This role helps position Veeam within partner platforms through reference architectures, integration guidance, and field-ready technical assets focused on cyber resilience, data security, AI infrastructure, and Data & AI Trust.

As a senior individual contributor role reporting to the Sr. Director, Technology Alliances, this role works cross-functionally with product, engineering, alliances, sales, marketing, and field teams to translate partner strategy into practical architectures, integrations, and enablement motions. The ideal candidate brings deep technical expertise, partner-facing credibility, and the judgment to align technical execution with enterprise customer needs.

What You'll Do
  • Technical lead for Security & AI alliances: translate alliance strategy into technical plans, priorities, and execution with alliance leadership.
  • Drive joint solutions: define/validate integrations (APIs, interoperability) and produce reference architectures, validated designs, and solution blueprints.
  • Align roadmaps: identify technical gaps/dependencies and incorporate partner/customer feedback to coordinate with Product and Engineering.
  • Partner technical engagement: represent Veeam with partner technical stakeholders and support strategic customer/partner opportunities requiring tight technical alignment.
  • Create joint technical assets: develop briefs, diagrams, guidance, demos, and validation materials highlighting value and differentiation.
  • Enable teams: train/enable internal and partner field teams on deployment considerations and joint solution positioning.
  • Track outcomes: manage technical milestones (validations, integrations, enablement readiness, and field adoption) tied to alliance priorities.
What You'll Bring
  • 10+ years in enterprise infrastructure, data protection, security, cloud, and/or solution-focused technical roles.
  • Deep expertise in backup & recovery, cyber resilience, security architecture, and modern enterprise infrastructure.
  • Proven alliances/partner experience translating business priorities into technical architectures and joint solutions.
  • Ability to engage credibly with partner product teams, architects, engineers, and technical executives.
  • Experience producing technical assets such as reference architectures, validated designs, integration blueprints, and technical GTM content.
  • Strong integration skills across APIs, platform integrations, and interoperability in infrastructure/security/cloud ecosystems.
  • Excellent cross-functional communication and ability to influence in a matrixed org (product, engineering, alliances, sales, marketing), balancing strategy with hands-on execution.
Bonus Skills
  • Experience with enterprise security platforms and related domains (e.g., cyber recovery architectures, DSPM, identity protection, AI infrastructure, and adjacent security technologies).
  • Experience working in alliance ecosystems across security vendors, cloud platforms, infrastructure providers, and AI technology partners (e.g., Palo Alto Networks, CrowdStrike, Fortinet, Red Hat OpenShift, NVIDIA).
  • Familiarity with Veeam and concepts including data resilience, ransomware recovery, and enterprise backup architecture.
  • Experience delivering multi-vendor joint solutions spanning ISVs, service providers, and broader ecosystem partners.
  • Experience operating in global, distributed organizations, effectively supporting stakeholders across regions and time zones.

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