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Nvidia 2024 Jobs (NOW HIRING)

In December 2024 Vultr announced an equity financing at a $3.5 billion valuation. Founded by David ... Hands-on experience with modern NVIDIA/AMD GPU platforms and high-performance networking (RoCE ...

Procurement Manager

$100K - $110K/yr

In December 2024 Vultr announced an equity financing at a $3.5 billion valuation. Founded by David ... Familiarity with NVIDIA, AMD, or custom ASIC hardware procurement * CPSM, CPP, or CSCP ...

Senior AI Engineer

Los Altos, CA · Remote

$107K - $146K/yr

... 2024 launch, and we're just getting started. Our team is world-class -- veteran web3 entrepreneurs and builders from Apple, X (formerly Twitter), Robinhood, Samsung, NVIDIA, Tendermint and Skuchain ...

Anesthesiologist

Stanford, CA · On-site

$432K/yr

... in 2024 * Practice among dynamic and innovative clinicians who see complex and unique cases in a ... Proximity to renowned companies like Alphabet, Apple, Meta, and Nvidia * Stanford's campus is home ...

Head of Deployment Strategy

New York, NY · On-site

$200K - $250K/yr

David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a ... We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify ...

... in 2024 * Practice among dynamic and innovative clinicians who see complex and unique cases in a ... Proximity to renowned companies like Alphabet, Apple, Meta, and Nvidia * Stanford's campus is home ...

Senior AI Engineer

Los Altos, CA · On-site +1

$123K - $169K/yr

... 2024 launch, and we're just getting started. Our team is world-class - veteran web3 entrepreneurs and builders from Apple, X (formerly Twitter), Robinhood, Samsung, NVIDIA, Tendermint and Skuchain ...

Platform Engineer

San Francisco, CA · On-site

$160K - $200K/yr

... 2024. If our purpose and culture resonate with you, we invite you to apply. The Role We are seeking ... Familiarity with the unique infrastructure needs of AI (e.g., NVIDIA Triton, Slurm, or Ray) What We ...

AZX is a public benefit corporation founded in 2024. We were profitable through bootstrapped ... Support partnership logistics with tech partners (NVIDIA, Google, Anthropic, etc.) and channel ...

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Nvidia 2024 information

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

To thrive as a Software Engineer at Nvidia, you need a strong background in computer science, programming (especially C++ and Python), and an understanding of GPU architectures, typically demonstrated through a relevant degree or experience. Familiarity with parallel computing frameworks, CUDA programming, and version control systems like Git is often required. Problem-solving ability, teamwork, and effective communication are essential soft skills that help in dynamic project settings. These skills and qualifications are crucial for developing cutting-edge graphics and AI technologies that drive Nvidia’s innovation.

What types of projects do new hires typically work on at Nvidia, and how is collaboration structured within teams?

At Nvidia, new hires often join dynamic teams focused on cutting-edge projects in areas like AI, deep learning, graphics, and autonomous systems. Team collaboration is highly encouraged through agile methodologies, regular stand-ups, and cross-functional meetings that bring together hardware, software, and research professionals. You’ll likely be paired with a mentor and work in close partnership with experienced engineers, contributing to both long-term innovations and rapid prototyping. This collaborative environment accelerates learning and offers broad exposure to Nvidia’s diverse product lines.

What does someone do at Nvidia in 2024?

At Nvidia in 2024, employees work on developing cutting-edge technologies in areas such as graphics processing, artificial intelligence, and high-performance computing. Roles at Nvidia can include software engineering, hardware design, research, product management, and business development. The company is known for pushing the boundaries in GPU design, powering everything from gaming and data centers to autonomous vehicles and AI research. Team members collaborate on innovative projects that drive advancements in technology and have a global impact.

What is the difference between Nvidia 2024 vs Nvidia Data Scientist?

AspectNvidia 2024Nvidia Data Scientist
Required CredentialsBachelor's or higher in Computer Science, Engineering, or related fields; familiarity with AI and GPU technologiesBachelor's or higher in Data Science, Computer Science, or related fields; knowledge of machine learning and data analysis
Work EnvironmentResearch and development, hardware and software integration, collaborative teamsData analysis, model development, cross-functional collaboration
Employer & Industry UsageTech industry, hardware manufacturing, AI researchTech industry, AI and data analytics companies, research labs

While Nvidia 2024 focuses on hardware, software development, and AI innovations, Nvidia Data Scientists specialize in analyzing data, building models, and deriving insights to support Nvidia's AI and software products. Both roles require technical expertise but differ in their core functions and daily tasks.

More about Nvidia 2024 jobs
Infographic showing various Nvidia 2024 job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 88% Physical, 6% Hybrid, and 6% Remote job distribution.
Staff AI/ML Infrastructure Engineer

Staff AI/ML Infrastructure Engineer

Vultr

Remote

$145K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago


Job description

Who We Are
Vultr is on a mission to make high-performance cloud infrastructure easy to use, affordable, and locally accessible for enterprises and AI innovators around the world. With 33 global cloud data center locations, Vultr is trusted by hundreds of thousands of active customers across 185 countries for its flexible, scalable, global Cloud Compute, Cloud GPU, Bare Metal, and Cloud Storage solutions. In December 2024 Vultr announced an equity financing at a $3.5 billion valuation. Founded by David Aninowsky and self-funded for over a decade, Vultr has grown to become the world's largest privately-held cloud infrastructure company.
Vultr Cares
  • 100% company-paid insurance premiums for employee medical, dental and vision plans.
  • 401(k) plan that matches 100% up to 4%, with immediate vesting
  • Professional Development Reimbursement of $2,500 each year
  • 11 Holidays + Paid Time Off Accrual + Rollover Plan
  • Commitment matters to Vultr! Increased PTO at 3 year and 10 year anniversary + 1 month paid sabbatical every 5 years + Anniversary Bonus each year
  • $500 stipend for remote office setup in first year + $400 each following year
  • Internet reimbursement up to $75 per month
  • Gym membership reimbursement up to $50 per month
  • Company paid Wellable subscription

Join Vultr
Vultr is seeking a highly skilled and experienced Staff AI/ML Infrastructure Engineer to drive the design, performance, and reliability of our AI infrastructure platform. The ideal candidate is a hands-on infrastructure expert with deep GPU systems knowledge, strong automation experience, and a track record of technical leadership in high-performance environments. This is a highly visible role in a high-growth technology company, requiring ownership of complex hardware and software systems, collaboration across engineering and vendor partners, and a relentless focus on operational excellence. This is your opportunity to build the foundation powering next-generation AI workloads and leave a lasting mark on Vultr and the future of cloud infrastructure.
Key Responsibilities
  • Design and maintain GPU and bare metal infrastructure in containerized and physical environments
  • Build scalable GPU clusters in partnership with networking and provisioning teams
  • Ensure reliable, high-performance provisioning of GPU infrastructure
  • Develop automated testing systems for GPU-based platforms
  • Implement infrastructure solutions for diverse AI/ML workloads
  • Benchmark, test, and troubleshoot GPU performance at scale
  • Collaborate with hardware vendors on drivers, firmware, and support
  • Resolve hardware, software, and performance issues across environments
  • Optimize rail and cluster performance across architectures
  • Lead technical direction and mentor engineers on infrastructure best practices

Qualifications
  • 5+ years experience working with bare metal infrastructure and hardware automation
  • Hands-on experience with modern NVIDIA/AMD GPU platforms and high-performance networking (RoCE, InfiniBand)
  • Deep knowledge of BIOS, BMC, firmware, NICs, Redfish/IPMI, and PCIe systems
  • Strong Linux systems experience including device drivers and package management
  • Experience building infrastructure automation using Python and Bash
  • Familiarity with GPU drivers, firmware ecosystems, and vendor collaboration
  • Experience designing and delivering complex infrastructure products
  • Proven ability to lead projects and mentor engineers
  • Experience optimizing multi-cluster GPU environments
  • Exposure to Machine Learning software stacks and GPU workloads

Compensation
$145,000 - $160,000
This salary can vary based on location, years of experience, background and skill set.
Inclusion & Privacy
We are an equal opportunity employer and are committed to creating an inclusive environment for all employees. We welcome applications from individuals of all backgrounds and experiences, and we prohibit discrimination based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status under applicable laws. Vultr will consider qualified applicants with arrest or conviction records in accordance with applicable laws and will not conduct a background check until after an offer of employment has been extended and accepted.
We also take your privacy seriously. We handle personal information responsibly and follow applicable laws, including U.S. privacy rules and India's Digital Personal Data Protection Act, 2023. Your data is used only for legitimate business purposes and is protected with proper security measures.
Where allowed by law, applicants may request details about the data we collect, access or delete their information, withdraw consent for its use, and opt out of nonessential communications. For more details, please see our Privacy Policy.