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48 Nvidia Jobs Hiring in Arizona

Prosum Inc.

Sr. Machine Learning Engineer

Phoenix, AZ · On-site

$130K - $150K/yr

Evaluate and implement performance improvements using NVIDIA GPU technologies and profiling tools. Model Deployment & Optimization * Optimize, quantize, and deploy machine learning models using ...

BCforward

Enterprise Architect

Tempe, AZ

$66 - $85.25/hr

VMWare View/ VMWare Horizon, Thin App, App-V, App Volumes and NVIDIA vGPU technologies Advanced knowledge of Engineering and non-engineering workstations (Hardware) and migration to VDI Platforms ...

mercury

Principal Electrical Engineer

Phoenix, AZ · On-site

$130K - $159K/yr

Experience developing advanced network interface board designs using components from Nvidia, Broadcom, or Marvell * Background with VPX/VITA standards (3U/6U), COM Express, or SoM embedded ...

Mercury Systems

Principal Electrical Engineer

Phoenix, AZ · On-site

$130K - $159K/yr

Experience developing advanced network interface board designs using components from Nvidia, Broadcom, or Marvell * Background with VPX/VITA standards (3U/6U), COM Express, or SoM embedded ...

Fox

Director, Platform Engineering

Tempe, AZ

Experience with NVIDIA Holoscan or similar accelerated computing ecosystems * Experience building internal developer platforms, AI sandboxes, shared engineering services, or model governance ...

BCforward

Enterprise Architect

Tempe, AZ

$57.81/hr

VMWare View/ VMWare Horizon, Thin App, App-V, App Volumes and NVIDIA vGPU technologies Advanced knowledge of Engineering and non-engineering workstations (Hardware) and migration to VDI Platforms ...

CNH Industrial N.V.

Senior Software Engineer

Tempe, AZ · On-site

$117K - $154K/yr

Familiarity with ARM-based embedded Linux platforms (e.g., NVIDIA Jetson, Qualcomm, NXP, or similar). * Familiarity with modern AI-assisted software development tools and best practices. Pay ...

Introl

Data Center Technician

Phoenix, AZ · On-site

$30 - $36/hr

... NVIDIA, AMD, Intel) Employment Structure & Expectations This is a W-2 hourly, project-based position Employees are scheduled and assigned to specific projects based on business needs Work hours may ...

Introl

Data Center Technician

Phoenix, AZ · On-site

$30 - $36/hr

... NVIDIA, AMD, Intel) Employment Structure & Expectations This is a W-2 hourly, project-based position Employees are scheduled and assigned to specific projects based on business needs Work hours may ...

Deloitte

Oracle Gen AI Manager

Tempe, AZ

Experience with LangChain, LangGraph, NVIDIA NIM, or Hugging Face * Experience leading AI or ERP transformation programs for large enterprises The wage range for this role takes into account the wide ...

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Nvidia Jobs Information

What is it like to work at Nvidia?

Nvidia is known for its collaborative and innovative culture, prioritizing teamwork and creativity to drive technological advancements. The company's structure is organized into various teams, including research and development, engineering, and sales, with a focus on fostering open communication and knowledge sharing across departments. Working at Nvidia may appeal to candidates who are passionate about artificial intelligence, graphics, and high-performance computing, as the company offers opportunities to contribute to cutting-edge projects and collaborate with experts in the field.

What makes Nvidia an attractive place to work?

Nvidia is a leading technology company in the field of artificial intelligence, graphics processing units, and high-performance computing, with a strong reputation for innovation and industry leadership. The company's workplace culture values collaboration, creativity, and innovation, with opportunities for employees to work on cutting-edge projects and contribute to the development of groundbreaking technologies. Joining Nvidia offers professionals a chance to be part of a dynamic and forward-thinking organization, with opportunities for growth, professional development, and making a meaningful impact in the tech industry.

Do workers at Nvidia get paid breaks?

Sometimes. Only some people get paid breaks.
42% of people say they don’t get paid breaks.
Based on data from 12 people who took the Breakroom Quiz between December 2024 and August 2026.

Does Nvidia pay people when they’re sick?

Yes. Most people get paid when they’re sick.
76% of people say they would get paid if they were sick but scheduled to work.
Based on data from 17 people who took the Breakroom Quiz between December 2024 and August 2026.

At Nvidia, are sick days and vacation days separate paid time off?

Sick days and vacation days are separate paid time off.
92% of people say they don’t have to use vacation days when they’re out sick.
Based on data from 13 people who took the Breakroom Quiz between June 2025 and June 2026.

Is the health insurance from Nvidia affordable enough for their workers?

Most people say the health insurance costs are okay.
100% of people say the health insurance costs are okay
Based on data from 13 people who took the Breakroom Quiz between June 2025 and August 2026.

Do people get paid time off at Nvidia?

Most people get paid time off work.
93% of people say they get paid time off.
Based on data from 14 people who took the Breakroom Quiz between June 2025 and August 2026.

How far ahead of time do people find out their work schedule?

Only some people find out their schedule four weeks ahead of time.
  • 67% of people with changing schedules find out their shifts one week or less ahead of time.
  • 0% of people with changing schedules find out their shifts two weeks ahead of time.
  • 0% of people with changing schedules find out their shifts three weeks ahead of time.
  • 33% of people with changing schedules find out their shifts four weeks or more ahead of time.

Based on data from 6 people who took the Breakroom Quiz between April 2025 and March 2026.

Do workers at Nvidia worry about hours?

Most people don’t worry about getting enough hours.
83% of people report they don’t worry about getting enough hours.
Based on data from 12 people who took the Breakroom Quiz between December 2024 and March 2026.

Do Nvidia workers get to choose the shifts they work?

Some people don’t get to choose which shifts they work.
40% report that they don’t have enough control over which shifts they work.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and January 2026.

How easy is it for Nvidia workers to change shifts?

Most people find it easy to change shifts.
88% of people report that it’s easy to change shifts if they need to.
Based on data from 8 people who took the Breakroom Quiz between January 2025 and March 2026.

How easy is it to get time off at Nvidia?

Most people find it easy to get time off.
100% of people report it’s easy to get time off.
Based on data from 17 people who took the Breakroom Quiz between December 2024 and June 2026.

Do Nvidia managers change schedules at the last minute?

Most managers don’t change people’s schedules at the last minute.
92% of people say their manager doesn’t change their shift schedule at the last minute.
Based on data from 13 people who took the Breakroom Quiz between December 2024 and March 2026.

Do jobs at Nvidia spill into time workers aren’t paid for?

Rarely. The job doesn't usually spill into unpaid time.
17% of people report that their job takes up time that they don’t get paid for.
Based on data from 12 people who took the Breakroom Quiz between December 2024 and March 2026.

How easy is it to take sick days at Nvidia?

Most people find it easy to take sick days.
100% of people report that it’s easy to take time off if they are sick.
Based on data from 18 people who took the Breakroom Quiz between December 2024 and August 2026.

Do people at Nvidia feel treated with respect by their managers?

Most people feel treated with respect by their managers.
100% of people say they’re treated with respect by their managers.
Based on data from 17 people who took the Breakroom Quiz between December 2024 and August 2026.

Do people at Nvidia get to take their breaks without interruption?

Most people get breaks without interruption.
94% of people report that they get to take their breaks without interruption.
Based on data from 18 people who took the Breakroom Quiz between December 2024 and August 2026.

Is it stressful to work at Nvidia?

Some people feel stressed here.
44% of people say they often feel stressed at work.
Based on data from 18 people who took the Breakroom Quiz between December 2024 and August 2026.

Do people at Nvidia enjoy their jobs?

Most people enjoy their job.
100% of people report they enjoy their job.
Based on data from 16 people who took the Breakroom Quiz between December 2024 and August 2026.

Do people at Nvidia recommend working with their team?

Most people recommend working with their team.
78% of people report that they would recommend working with their immediate team to a friend.
Based on data from 18 people who took the Breakroom Quiz between December 2024 and August 2026.

Do people get enough training when they start at Nvidia?

Some people didn’t get enough training when they started.
41% of people report they didn’t get enough training when they started working here.
Based on data from 17 people who took the Breakroom Quiz between December 2024 and August 2026.

Do people get support to advance at Nvidia?

Most people are given support to advance their career here.
In the last year, 94% of people report being given support to advance their career here.
Based on data from 16 people who took the Breakroom Quiz between December 2024 and August 2026.

Do people think Nvidia’s headquarters understands what’s happening where they work?

Most people think headquarters understands what’s happening where they work.
69% of people think that this employer’s headquarters or owners have a good understanding of what’s really happening where they work.
Based on data from 16 people who took the Breakroom Quiz between December 2024 and August 2026.

Do workers feel well informed about how Nvidia is doing?

Most people feel well informed about how the company is doing.
88% of people feel that they are kept well informed about how the company is doing as a whole.
Based on data from 17 people who took the Breakroom Quiz between December 2024 and August 2026.

What are popular cities in Arizona for Nvidia jobs?

What are the most popular jobs at Nvidia?

What are the most popular categories at Nvidia?

Sr. Machine Learning Engineer

Prosum Inc.

Phoenix, AZ • On-site

$130K - $150K/yr

Other

Posted 21 days ago

Job description

Job Description
Sr. Machine Learning Engineer
Salary Range: $130k to $150k
Our client is seeking a Sr. Machine Learning Engineering for a direct hire role to sit in North Phoenix, AZ or Hillsboro, OR. This role will be onsite 4 days a week and 1 remote day.
JOB SUMMARY
The role of Senior Machine Learning Engineer will architect and optimize real-time, high-throughput, and ultra-low latency image pipelines for next-generation Mask Inspection Tools. Responsibilities include eliminating hardware bottlenecks through CUDA kernel tuning and GPU parallel computing, ensuring deep learning models and CV algorithms seamlessly processing massive, high-bandwidth streaming data at production scale.
ESSENTIAL DUTIES AND RESPONSIBILITIES
High-Performance Computing Pipeline Architecture
  • Design, implement, and optimize high-throughput, low-latency image processing pipelines for real-time optical inspection and machine vision systems.
  • Develop scalable architectures capable of processing large volumes of imaging data while meeting stringent latency and reliability requirements.
  • Profile and optimize system performance across CPU, GPU, memory, and I/O subsystems.
GPU Acceleration
  • Design, develop, and optimize CUDA kernels to accelerate deep learning inference and classical computer vision algorithms.
  • Maximize GPU utilization through efficient memory management, kernel optimization, and parallel programming techniques.
  • Evaluate and implement performance improvements using NVIDIA GPU technologies and profiling tools.
Model Deployment & Optimization
  • Optimize, quantize, and deploy machine learning models using TensorRT, ONNX Runtime, or similar inference frameworks.
  • Integrate AI models into production-grade C++ and Python applications.
  • Improve inference throughput, latency, and resource utilization while maintaining model accuracy.
  • Develop automated deployment and validation pipelines for machine learning models.
Concurrency & Systems Optimization
  • Architect and implement multi-threaded, high-concurrency software components for data acquisition, buffering, streaming, and real-time processing.
  • Design robust synchronization and communication mechanisms between hardware interfaces and AI processing pipelines.
  • Optimize end-to-end system performance for deterministic, real-time execution.
Cross-Functional Collaboration
  • Partner with machine learning scientists, computer vision engineers, hardware engineers, and software developers to deliver integrated AI solutions.

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