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Nvidia Engineering Jobs in Arizona (NOW HIRING)

LangChain, Inc

Deployed Engineer (Phoenix)

Phoenix, AZ · On-site

$155K - $360K/yr

... Nvidia, and Bridgewater. About the Team The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams ...

Mercury Systems

Principal Electrical Engineer

Phoenix, AZ · On-site

$130K - $159K/yr

Mercury Systems is seeking the best and brightest engineering talent to help us deliver cutting ... Experience developing advanced network interface board designs using components from Nvidia ...

TSMC

Robotics Automation Engineer

Phoenix, AZ · On-site

Collaborate with external designers and Facility engineering teams to guide the deployment of ... Familiar to the robotic simulation and training system such as ROS2, Nvidia Omniverse and ISSAC Sim ...

TSMC

Robotics Automation Engineer

Phoenix, AZ · On-site

Collaborate with external designers and Facility engineering teams to guide the deployment of ... Familiar to the robotic simulation and training system such as ROS2, Nvidia Omniverse and ISSAC Sim ...

CommonSpirit Health

Solution Architect I

Phoenix, AZ

$59.75 - $78.75/hr

... NVIDIA GPU resources. This includes maintaining and tuning PowerStore pNFS storage, PowerScale ... Three - five (3-5) years of experience in technology solutions engineering, technical ...

CommonSpirit Health

Solution Architect I

Phoenix, AZ · On-site

$59.75 - $78.75/hr

... engineering portfolios/platforms, and will support high-performance computing architecture. This ... NVIDIA GPU resources. This includes maintaining and tuning PowerStore pNFS storage, PowerScale ...

GuideTech LLC

Embedded Software Engineer

Tucson, AZ

$124K - $164K/yr

Embedded Software Engineer Location: Tucson, AZ GuideTech , a subsidiary of Palladyne AI , builds ... Our BRAIN flight computer pairs an NVIDIA Jetson Orin autonomy module with a Zynq-7000 real-time ...

GuideTech LLC

Embedded Software Engineer

Tucson, AZ · On-site

$124K - $164K/yr

Embedded Software Engineer Location: Tucson, AZ GuideTech , a subsidiary of Palladyne AI , builds ... Our BRAIN flight computer pairs an NVIDIA Jetson Orin autonomy module with a Zynq-7000 real-time ...

GuideTech Open Roles

Embedded Software Engineer

Tucson, AZ · On-site

$124K - $164K/yr

Embedded Software Engineer Location: Tucson, AZ GuideTech , a subsidiary of Palladyne AI , builds ... Our BRAIN flight computer pairs an NVIDIA Jetson Orin autonomy module with a Zynq-7000 real-time ...

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 ...

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 ...

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Nvidia Engineering information

See Arizona salary details

$43.3K

$136.9K

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How much do nvidia engineering jobs pay per year?

As of Jun 12, 2026, the average yearly pay for nvidia engineering in Arizona is $136,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,600.00 and $161,200.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior engineers in specialized fields such as software, hardware, or systems engineering at major technology companies can earn $500,000 or more annually, often including bonuses, stock options, and other compensation. Achieving this level typically requires extensive experience, advanced skills, and sometimes leadership roles or executive responsibilities.

What are the key skills and qualifications needed to thrive in the Nvidia Engineering position, and why are they important?

To thrive in Nvidia Engineering, candidates typically need strong proficiency in computer engineering, software development, and a solid understanding of hardware architecture, often backed by a relevant degree such as Electrical Engineering or Computer Science. Familiarity with tools like CUDA, C/C++, Python, and version control systems, as well as experience with GPU programming, are highly valued, and certifications such as Nvidia's Deep Learning Institute credentials can enhance a candidate's profile. Excellent problem-solving, team collaboration, and communication skills set top performers apart in this role. These skills and qualifications enable engineers to contribute effectively to complex, innovative projects that drive Nvidia's technological advancements.

What is an Nvidia Engineering job?

An Nvidia Engineering job involves designing, developing, and optimizing hardware or software solutions in areas such as graphics processing, AI, and high-performance computing. Engineers at Nvidia work on cutting-edge technologies, including GPUs, deep learning frameworks, and system architecture. Roles vary from hardware design and verification to software development and AI research, depending on expertise. Strong skills in programming, computer architecture, and problem-solving are typically required.

Which engineers does NVIDIA hire?

NVIDIA hires a variety of engineers including hardware engineers, software engineers, AI and deep learning engineers, and systems engineers. Candidates typically need strong technical skills, experience with programming languages like C++ and Python, and knowledge of GPU architectures or AI frameworks. The company values innovation, collaboration, and relevant technical certifications or degrees in engineering or computer science.

Is it hard to get hired at NVIDIA?

Getting hired as an engineer at NVIDIA can be competitive due to the company's reputation and high standards. Candidates typically need strong technical skills, relevant experience, and a solid understanding of areas like GPU architecture, software development, or AI. The hiring process often involves multiple interviews and technical assessments.

What types of projects do Nvidia Engineers typically work on, and how is teamwork structured within the engineering department?

Nvidia Engineers commonly engage in projects related to GPU development, AI and deep learning solutions, software driver optimization, and next-generation hardware innovation. Project teams are often multidisciplinary, bringing together software, hardware, and systems engineers to collaborate closely on end-to-end product development. Engineers frequently work in agile, fast-paced environments, attend regular team stand-ups, and participate in cross-functional meetings. This collaborative structure fosters creativity, accelerates problem-solving, and ensures high-quality product delivery while offering team members exposure to diverse technologies and career growth opportunities.

How much do NVIDIA engineers get paid?

NVIDIA engineers' salaries vary based on experience, role, and location, but the average annual salary for software engineers at NVIDIA typically ranges from $100,000 to $150,000. Senior engineers and those with specialized skills in AI, graphics, or hardware may earn higher compensation, often including bonuses and stock options.
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Nvidia Engineering jobs near you

Deployed Engineer (Phoenix)

LangChain, Inc

Phoenix, AZ • On-site

$155K - $360K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago

Job description

About Us
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we're at a stage where we're continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the Team
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
About the Role
The Deployed Engineer...You'll work on some of the hardest problems in applied AI - not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
What You'll Do
  • Co-architect and co-build production AI agents with customer engineering teams
  • Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
  • Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
  • Advise customers post-sale on architecture, best practices, and roadmap-level decisions
  • Run technical demos, trainings, and workshops for developer audiences
  • Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
  • Occasionally contribute code upstream when it meaningfully improves customer outcomes
  • This role requires up to 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement

What You'll Bring
  • 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
  • Strong Python, JavaScript and systems fundamentals
  • Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
  • Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
  • Can explain technical tradeoffs clearly and build trust with developer audiences
  • Take responsibility for outcomes, not just recommendations
  • Have a bias toward action and enjoy figuring things out as you go
  • Are excited about operating AI agents in production, not just building demos

Nice to Have's:
  • You've deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
  • Worked with LLM evaluation, observability, or guardrails
  • Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
  • Have shipped and operated production software and are comfortable owning systems under real-world constraints

Compensation
Annual OTE range: $155,000-$360,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

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