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Nvidia 2024 Jobs (NOW HIRING)

David AI

Head of Engineering

San Francisco, CA · On-site

$250K - $300K/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 ...

AMN Healthcare

Anesthesiologist

Stanford, CA

$412K - $478K/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 ...

David AI

Software Engineer, Security

San Francisco, CA · On-site

$160K - $200K/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 ...

AMN Healthcare, Inc.

Anesthesiologist

Stanford, CA · On-site

$412K - $478K/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 ...

David AI

Data Product Operations Lead

Manhattan, NY

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

Data Product Operations Lead

New York, NY · On-site

$125K - $190K/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

Product Engineer

San Francisco, CA · On-site

$160K - $200K/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 ...

Saga

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 ...

Meshy LLC

AI Infrastructure Engineer

Sunnyvale, CA

$126K - $165K/yr

... Nvidia and Microsoft. Our talent spans the globe, with team members distributed across North ... 2024 A16Z Games) and No.1 in website traffic (according to SimilarWeb, with 3 Million monthly ...

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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.

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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

Head of Engineering

David AI

San Francisco, CA • On-site

$250K - $300K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago

Job description

About David AI
David AI is the first audio data research company. We bring an R&D approach to data-developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human-it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in.
David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we've brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors.
Our team is sharp, humble, ambitious, and tight-knit. We're looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI.
About our Engineering team
At David AI, our engineers build the pipelines, platforms, and models that transform raw audio into high-signal data for leading AI labs and enterprises. We're a tight-knit team of product engineers, infrastructure specialists, and machine learning experts focused on building the world's first audio data research company.
We move fast, own our work end-to-end, and ship to production daily. Our team designs real-time pipelines handling terabytes of speech data and deploys cutting-edge generative audio models.
About this role
As Head of Engineering, you'll be the technical backbone for our engineering team, leading execution across product, infrastructure, and AI systems. Partnering closely with the CTO, you'll co-develop the long-term technical vision and architecture, then translate it into a clear roadmap and operating cadence. You'll ensure delivery quality and nurture a collaborative, high-velocity engineering culture. This is a strategic role with broad autonomy where you'll shape how we build from day one.
In this role, you will
  • Lead the design and development of core tools that help users make sense of audio data for model training, working closely with researchers to continually improve how we collect data.
  • Hire, structure, and mentor the engineering team while setting and upholding high performance standards.
  • Oversee the delivery of full-stack features that thousands of users interact with daily.
    Build scalable data processing pipelines to extract actionable insights from terabytes of audio data every day.
  • Rapidly iterate on research hypotheses in partnership with the Head of Research and Head of Operations - deploying interfaces to collect new data efficiently.
Your background looks like
  • 3+ years of engineering management experience.
  • Experience leading technical organizations through rapid growth phases at high-growth startups or scale-ups.
  • Strong background in distributed systems, real-time data processing, or machine learning infrastructure.
  • A high degree of comfort digging into systems with deep technology stacks.
  • A passion for problem solving and providing technical leadership to peers.
Bonus points if you
  • Are a former founder.
Some technologies we work with
  • Next.js, TypeScript, TailwindCSS, Node.js, tRPC, PostgreSQL, AWS, Trigger.dev, WebRTC, FFmpeg.

Benefits
  • Unlimited PTO.
  • Top-notch health, dental, and vision coverage with 100% coverage for most plans.
  • FSA & HSA access.
  • 401k access.
  • Meals 2x daily through DoorDash + snacks and beverages available at the office.
  • Unlimited company-sponsored Barry's classes.

Apply