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Remote Nvidia Engineering Jobs in California (NOW HIRING)

Sustainable Talent

AI Security Engineer

Santa Clara, CA · On-site +1

$90 - $130/hr

... Clara, CA with remote/ hybrid work options. This is a full-time (W-2) contract role. We offer ... alongside NVIDIA's research and engineering teams, focused on AI Safety for LLMs, including ...

Sustainable Talent

AI Security Engineer

Santa Clara, CA · On-site +1

$90 - $130/hr

... Clara, CA with remote/ hybrid work options. This is a full-time (W-2) contract role. We offer ... alongside NVIDIA's research and engineering teams, focused on AI Safety for LLMs, including ...

Sustainable Talent

AI Safety Engineer

Santa Clara, CA · On-site +1

$90 - $130/hr

... Clara, CA with remote/ hybrid work options. This is a full-time (W-2) contract role. We offer ... alongside NVIDIA's research and engineering teams, focused on AI Safety for LLMs, including ...

Sustainable Talent

AI Safety Engineer

Santa Clara, CA · On-site +1

$90 - $130/hr

... Clara, CA with remote/ hybrid work options. This is a full-time (W-2) contract role. We offer ... alongside NVIDIA's research and engineering teams, focused on AI Safety for LLMs, including ...

Hitachi

AI and Data Engineer

Santa Clara, CA · On-site +1

$29/hr

Profession (Job Category): IT, Telecom & Internet Job Schedule: Full time Remote: No AI and Data ... Develop tools and frameworks to streamline the prompt engineering process, including prompt ...

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.

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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
Strategic Technical Account Manager, AI/ML

Strategic Technical Account Manager, AI/ML

DigitalOcean

San Francisco, CA • Remote

$174K - $217K/yr

Other

Posted 6 days ago

Job description

We are looking for a Strategic Technical Account Manager who is passionate about making an impact, builds genuine relationships with senior stakeholders, and understands how to integrate infrastructure choices into business strategy.

As a Strategic Technical Account Manager (TAM) at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. 

What You'll Do:

Strategic Relationship Management

  • Own the technical relationship with DigitalOcean's highest-value customers, including Fortune 500 companies and global technology leaders.
  • Serve as the trusted technical advisor and executive-facing point of contact, building deep, lasting relationships with VP- and SVP-level stakeholders.
  • Drive regular technical and strategic alignment sessions (QBRs, EBRs), proactively shaping the customer's roadmap to maximize the value of DigitalOcean infrastructure.
  • Operate as a thought partner, challenging customers to modernize, optimize, and scale AI/ML and GPU workloads using cutting-edge cloud architecture patterns.

Executive Presence & Influence

  • Engage with C-level and VP-level contacts with confidence, clarity, and authority.
  • Deliver high-impact, boardroom-ready presentations on architecture decisions, cost-performance tradeoffs, and innovation opportunities.
  • Navigate complex org structures, ensuring DigitalOcean maintains executive alignment and account control at every level.

Technical Consultation & Innovation Support

  • Provide expert guidance on designing and scaling AI/ML, containerized, and GPU-intensive workloads on DigitalOcean.
  • Assist customers with architectural planning, workload migration, performance tuning, and incident response.
  • Collaborate directly with engineering and product teams to address customer roadblocks and influence the product roadmap based on enterprise needs.

Growth, Retention & Advocacy

  • Own technical success across a portfolio of DigitalOcean's largest and most strategic accounts.
  • Identify opportunities for workload expansion, cost optimization, and operational efficiency.
  • Act as the voice of the customer, providing structured feedback to influence DigitalOcean's offerings and go-to-market strategies.
    Lead cross-functional account planning with Account Management, Product, and Engineering.
What You'll Add to DigitalOcean:

Enterprise Customer Experience

  • 7+ years supporting enterprise or strategic accounts in a customer-facing technical role (TAM, Solutions Architect, or equivalent).
  • Experience working with large-scale organizations like AMD, Intel, or similar, including managing executive-level relationships and navigating matrixed stakeholders.
  • Deep understanding of cloud architecture for AI/ML, including GPU orchestration, inference/training pipelines, and model deployment.

Technical Depth

  • Proficient in at least one major cloud platform (AWS, GCP, Azure) and familiar with DigitalOcean or other developer-focused platforms.
  • Strong hands-on skills with Linux systems, networking, containers (Docker/Kubernetes), and automation (Terraform, Ansible).
    Programming/scripting in Python, Go, or similar-especially relevant to AI/ML and MLOps use cases.
  • Understanding of AI/ML infrastructure stacks: PyTorch, TensorFlow, ONNX, Hugging Face, NVIDIA Triton, etc.
  • Understanding of AI/ML infrastructure, including frameworks like PyTorch, TensorFlow, and ONNX, with hands-on experience optimizing GPU workloads on both NVIDIA (CUDA, TensorRT) and AMD (ROCm, MIOpen) platforms.
  • Comfort with modern DevOps and data stack tools (CI/CD, GitOps, observability, pipelines).

Executive Presence & Communication

  • Proven ability to engage with and influence executive decision-makers.
  • Exceptional communication skills, including the ability to translate complex technical topics into strategic business impact.
  • Comfortable presenting to large audiences, running technical workshops, and defending architectural decisions.
Bonus Points
  • Cloud certifications (AWS SA Pro, GCP PCA, Azure Architect) or NVIDIA certifications.
  • Experience with high-performance computing, edge AI, or hybrid/multicloud strategies.
  • Background in startup or high-growth environments where agility and influence matter.
  • Familiarity with DigitalOcean's developer ecosystem, API, and service portfolio.
Compensation Range: 
  • $174,240 - $217,800

*This is a remote role

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