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Nvidia 2024 Jobs (NOW HIRING)

AZX

Director/VP of GTM

Seattle, WA · On-site

$175K - $240K/yr

AZX is a public benefit corporation founded in 2024. We were profitable through bootstrapped ... NVIDIA, Google, OpenAI, Anthropic, Microsoft, Amazon). * Champion AZX's brand narrative and ensure ...

Vultr

GPU Fabric Engineer

$125K - $135K/yr

In December 2024 Vultr announced an equity financing at a $3.5 billion valuation. Founded by David ... Monitor and manage fabrics using NVIDIA UFM (Unified Fabric Manager) for health, topology, and ...

Moonlite AI

Senior Software Engineer, Compute Platform

$125K - $165K/yr

... latest-generation NVIDIA GPU configurations (H100, H200, B200, B300), including GPU resource ... Founded in 2024, the company is headquartered in Chicago, USA, with a team of 2-10 employees. The ...

Vultr

GPU Performance and Benchmarking Engineer

$140K - $150K/yr

In December 2024 Vultr announced an equity financing at a $3.5 billion valuation. Founded by David ... Hands-on experience with GPU profiling and benchmarking tools (e.g., NVIDIA Nsight, DCGM, nccl ...

Vultr

Strategic Technical Account Manager GPU

$115K - $140K/yr

In December 2024 Vultr announced an equity financing at a $3.5 billion valuation. Founded by David ... This includes customers using NVIDIA GPU clusters, AMD GPU clusters, GPU VMs, and rack-scale bare ...

David AI

Growth Operations Lead

New York, NY · On-site

$145K - $175K/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 ...

David AI

Staff Product Engineer

San Francisco, CA · 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 ...

David AI

Software Engineer, Platform

San Francisco, CA · On-site

$165K - $225K/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 ...

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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
What job categories do people searching Nvidia 2024 jobs look for? The top searched job categories for Nvidia 2024 jobs are:
Nvidia 2024 jobs near you
Infographic showing various Nvidia 2024 job openings in the United States as of July 2026, with employment types broken down into 97% Full Time, 1% Part Time, 1% Temporary, and 1% Contract. Highlights an 83% Physical, 8% Hybrid, and 9% Remote job distribution.
Senior Account Manager - Semiconductor Ecosystem

Senior Account Manager - Semiconductor Ecosystem

Nvidia

Santa Clara, CA

Full-time

Posted 10 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 245 rated software companies

Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Driving continued aggressive growth in our Enterprise business is a continued high priority for 2024 and beyond. In the rapidly growing world of GenAI, multi-modality has and increasingly becoming a requirement.

In addition to the text modality, use cases demand Speech and Digital Human (or Digital Avatar) capabilities. We need a senior account manager to passionately drive these technologies in the Enterprise and win NVIDIA platform (Software + Hardware) adoption. You will drive GTM (go to market) aspects of the collaboration including but not limited to defining our GTM strategy (industry, partners), sales enablement materials, train partner and field, working with the sales account team on creating and closing pipeline opportunities and provide feedback to the product team based on customer requirements. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world!

What you'll be doing:

  • Elevate and prioritize the most promising Semiconductor ecosystem providers based on capacity to scale, attract capital, and drive sustained sales offtake, ensuring alignment with NVIDIA's strategy.

  • Establish and implement the comprehensive NVIDIA Semiconductor ecosystem GTM plan involving local and global partners

  • Drive GTM strategy and execution for the Semiconductor ecosystem monitoring performance, identifying gaps, and recommending data-backed optimizations to enhance offtake.

  • Accountable for delivering incremental revenue and pipeline quarter over quarter, with the ability to close complicated business deals.

  • Work with internal partners to design full systems to enable the cloud business and provide continuous strategic, product, and tactical updates from HQ.

  • Collaborate effectively with product, sales, and partnerships teams to maintain alignment on priorities and execution.

  • Represent NVIDIA and at strategic industry forums and identify/drive engagement in key ecosystem events to build visibility and partnerships.

  • Own the event strategy, which includes evaluating, prioritizing, and supporting coverage for NVIDIA and non-NVIDIA industry events.

What we need to see:

  • 12+ overall years of Technology Sales Leadership with a consistent record of exceeding targets.

  • Deep AI/ML Domain Expertise in Conversational/Enterprise AI and Foundational Models (LLMs).

  • Proven Success with Executive Relationships including forming strategic partnerships and leading complex deals in matrixed environments.

  • Mastery of Solution Architecture and Strategy including developing and driving joint sales models and Go-to-Market (GTM) strategies.

  • Expert Knowledge of the AI Customer Journey and adoption trends in Cloud technologies.

  • 5+ years of experience in Sales/People Leadership, including the ability to recruit, empower, and manage sales teams.

  • Relevant Technical Degree in Engineering (or equivalent experience); Master's/MBA highly desirable.

  • Ability to Travel up to 50% for global engagements and partnership development.

Ways to stand out from the crowd:

  • Track record of successfully growing revenue for new, innovative technology-based solutions, demonstrating deep experience in Conversational AI.

  • Proven knowledge of pricing strategies, channel economics, and influencing business practices and products to better align with customer needs.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you

Your cash compensation will be determined based on your location, experience and the pay of employees in similar positions with 85% paid through base salary and 15% variable compensation. The cash compensation range is 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 26, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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