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Remote Nvidia Engineering Jobs in Chicago, IL (NOW HIRING)

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... Knowledge of software engineering best practices including version control (Git) and CI/CD ...

... assisted developers or autonomous agents is reliable, secure, and maintainable. Integrating ... Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor ...

... assisted developers or autonomous agents is reliable, secure, and maintainable. Integrating ... Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor ...

... assisted developers or autonomous agents is reliable, secure, and maintainable. Integrating ... Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor ...

The Lead, Network Architect Provides Level 3 design, engineering implementation & support for the ... Enterprise hands-on experience w/AI/NVIDIA designs, deployment and operations * Enterprise hands-on ...

The Lead, Network Architect Provides Level 3 design, engineering implementation & support for the ... Enterprise hands-on experience w/AI/NVIDIA designs, deployment and operations * Enterprise hands-on ...

The Lead, Network Architect Provides Level 3 design, engineering implementation & support for the ... Enterprise hands-on experience w/AI/NVIDIA designs, deployment and operations * Enterprise hands-on ...

Remote Nvidia Engineering information

See Chicago, IL salary details

$58.7K

$141.1K

$202.9K

How much do remote nvidia engineering jobs pay per year?

As of Jul 18, 2026, the average yearly pay for remote nvidia engineering in Chicago, IL is $141,136.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,200.00 and $156,100.00 per year, depending on experience, location, and employer.

What is a Remote Nvidia Engineer?

A Remote Nvidia Engineer is a professional who works for Nvidia, or with Nvidia technologies, from a location outside of a traditional office setting. These engineers may specialize in areas such as GPU development, AI research, software engineering, or hardware design, and they collaborate with teams virtually. Remote Nvidia Engineers use digital tools to communicate, manage projects, and contribute to cutting-edge technologies in graphics processing, artificial intelligence, and computing platforms. The remote aspect allows for flexible work arrangements and the ability to participate in global projects.

What are some common challenges faced by engineers working remotely for Nvidia, and how can they be overcome?

Remote engineers at Nvidia often encounter challenges related to communication across time zones, staying aligned with fast-paced project developments, and maintaining visibility within distributed teams. To overcome these, it's important to proactively engage in virtual meetings, leverage collaboration tools like Slack and Jira, and regularly update your team on progress. Building strong relationships with peers and seeking out mentorship opportunities can also help remote engineers stay connected and advance within the company.

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

To excel as a Remote Nvidia Engineer, you typically need a strong background in computer engineering, programming (e.g., C++, Python), and experience with GPU architectures, often supported by a relevant degree. Familiarity with Nvidia tools like CUDA, cuDNN, and deep learning frameworks, as well as proficiency in remote collaboration platforms, are crucial. Strong problem-solving skills, self-motivation, and effective communication are vital soft skills for working independently and collaborating across distributed teams. These competencies ensure efficient development, troubleshooting, and innovation in Nvidia's complex, high-performance computing environments.

What is the difference between Remote Nvidia Engineering vs Remote Nvidia Data Scientist?

AspectRemote Nvidia EngineeringRemote Nvidia Data Scientist
Required CredentialsBachelor's in Engineering, Computer Science, or related field; experience with GPU programmingBachelor's or higher in Data Science, Statistics, or related; proficiency in machine learning and data analysis
Work EnvironmentDesign, develop, and optimize GPU hardware/software; collaborative teamsAnalyze large datasets, develop models, and generate insights; often cross-functional teams
Employer & Industry UsagePrimarily in hardware, AI, and high-performance computing sectorsPrimarily in AI, analytics, and research sectors

Remote Nvidia Engineering focuses on hardware and software development for GPUs, requiring engineering credentials and technical skills. Remote Nvidia Data Scientists analyze data and build models, requiring expertise in data science. Both roles are remote, but they serve different functions within Nvidia's ecosystem.

What are the most commonly searched types of Nvidia Engineering jobs in Chicago, IL? The most popular types of Nvidia Engineering jobs in Chicago, IL are:
What are popular job titles related to Remote Nvidia Engineering jobs in Chicago, IL? For Remote Nvidia Engineering jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Remote Nvidia Engineering jobs in Chicago, IL look for? The top searched job categories for Remote Nvidia Engineering jobs in Chicago, IL are:
Solutions Architect, AI Infrastructure (US - Remote)

Solutions Architect, AI Infrastructure (US - Remote)

Lavendo

Chicago, IL β€’ Remote

$200K - $275K/yr

Full-time

Medical, Dental, Vision

Posted 19 days ago


Job description

Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit.

About the Company

Our client builds the infrastructure powering how the world's best engineering teams use AI. Their open-source AI Gateway is already trusted by Adobe, Netflix, Nvidia, and NASA β€” letting developers route 100+ LLM APIs through a single interface with cost tracking, guardrails, load balancing, and logging built in.

They're YC-backed, $10M+ ARR, ~10 people, and just getting started.

The Mission

Make LLM infrastructure simple and scalable for every engineering team on the planet β€” from scrappy startups to the world's largest enterprises.

The Opportunity

You'll be the first dedicated Solutions Architect/Sales Engineer on a rocket ship β€” owning the full technical sales motion alongside AEs, with direct access to founders and product. The companies you'll be selling to already know the product. Your job is to show them exactly how to make it work for them β€” and close.

If you've spent years learning how to sell developer tools to engineers β€” and you're ready to do it somewhere the stakes actually matter β€” this is that role.

What You'll Do
  • Own technical demos for enterprise prospects alongside AEs β€” running them daily at high volume

  • Be the go-to technical expert on every customer call: architecture questions, integration scoping, platform positioning

  • Manage ~50 active opportunities at once across a fast, no-nonsense sales cycle

  • Help customers get live β€” supporting post-sales onboarding on AI Gateway architecture for production (primarily pre-sales focused)

  • Feed customer insights directly back to the product and engineering teams β€” your voice shapes the roadmap

What You Bring

Must-Haves:

  • 3+ years in a technical, customer-facing sales role β€” Solutions Architect, Sales Engineer, or Technical Consultant

  • You've demoed developer tools (think: Datadog, Twilio, Snowflake) to enterprise engineering teams and closed deals

  • You sell to engineers β€” not just around them

  • Python-proficient enough to run live demos and field architecture questions solo, no engineering support needed

  • BS in a technical field from a US university

  • You don't need structure to perform β€” you create it

Bonus Points:

  • Rust experience

  • CS degree

  • Hands-on familiarity with AI/ML infra, LLM APIs, or cloud platforms

Key Success Drivers
  • You move fast β€” 50 open opps doesn't intimidate you, it energizes you

  • Engineers trust you β€” you earn credibility in the first 5 minutes of a call

  • You figure things out β€” no playbook? No problem. You write it

  • You care about the customer β€” not just the close

  • You're built for early-stage β€” ambiguity is your advantage, not your obstacle

Why Join?
  • πŸ’° Base $150K–$220K | OTE $200K–$275K, uncapped commission + competitive equity

  • πŸ₯ Top-tier medical, dental, and vision coverage, including FSA

  • πŸš€ First SE/SA hire at a $10M+ ARR, YC-backed company β€” with a product engineers already love

  • πŸ”₯ Sell to the most exciting engineering teams in the world (Adobe, Netflix, Nvidia, NASA β€” and many more)

  • πŸ›  Your feedback directly shapes the product roadmap

  • πŸ“ˆ Join early. Grow fast. Build something that matters

  • πŸ“ Remote in the US or on-site in San Francisco, CA | Visa transfers accepted β€” no new sponsorships

Interviewing Process
  1. Intro Call β€” Brief culture and background screen

  2. Sales Screen β€” Deeper dive into your sales experience, demo skills, and enterprise customer engagement

  3. Technical Screen β€” Assessment of your Python proficiency, architecture knowledge, and ability to handle technical customer questions

  4. On-Site β€” Full Day in San Francisco β€” Meet the team, experience the environment firsthand, and demonstrate how you'd operate day-to-day. This is where culture fit, hustle, and autonomy are evaluated directly.

  5. Offer

We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.

Compensation Range: $200K - $275K


Lavendo logo

About Lavendo

Sourced by ZipRecruiter

Industry

Recruiting and staffing services

Company size

1 - 10 Employees

Headquarters location

San Francisco, CA, US

Year founded

2021