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Nvidia Engineering Jobs in Chicago, IL (NOW HIRING)

Senior Embedded Software Engineer

Chicago, IL · On-site

$127K - $167K/yr

Involves direct interaction with NVIDIA personnel as well as HPC experts in academia and US national labs. * Collaborate closely with Quantum Software, Physics, Electrical, and Systems Engineering to ...

Involves direct interaction with NVIDIA personnel as well as HPC experts in academia and US national labs. * Collaborate closely with Quantum Software, Physics, Electrical, and Systems Engineering to ...

Sr. Site Reliability Engineer (SRE)

Chicago, IL · On-site

$58.75 - $78/hr

... and optimize NVIDIA GPU operators, device plugins, and other custom scheduling logic for GPU ... engineering roles with proven experience operating production infrastructure at scale. • Deep ...

Senior Platform Engineer

Chicago, IL · On-site +1

$107K - $147K/yr

Department BSD CTD - Platform Engineering - PlanX About the Department The Center for Translational ... Experience provisioning and managing GPU-enabled infrastructure (NVIDIA GPUs, CUDA, multi-GPU ...

Cisco, Juniper, Arista, Nvidia HPE-Aruba, Palo Alto Networks, etc * Adept at using initiative ... Strong industry knowledge and operational empathy * 5+ yrs of pre-sales engineering or related ...

... NVIDIA Omniverse, OpenUSD, PLM/CAD connectors) and contribute to thought leadership. Team Development & Collaboration * Lead and mentor global teams of simulation engineers, process modelers, and ...

Kubernetes Infrastructure Engineering: Design, build, and operate production Kubernetes clusters on ... Deploy and optimize NVIDIA GPU operators, device plugins, and other custom scheduling logic for GPU ...

... engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton Experience with hosting computer vision model inference on NVIDIA DGX Spark. Understanding of FDA regulatory ...

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Nvidia Engineering information

See Chicago, IL salary details

$47.9K

$151.3K

$179.2K

How much do nvidia engineering jobs pay per year?

As of Jul 26, 2026, the average yearly pay for nvidia engineering in Chicago, IL is $151,295.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $178,200.00 per year, depending on experience, location, and employer.

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.

What engineer makes $500,000 a year?

Senior engineers in specialized fields such as software engineering, hardware engineering, or systems architecture at leading technology companies can earn $500,000 or more annually, often including bonuses and stock options. These roles typically require extensive experience, advanced skills, and often involve leadership responsibilities or working on high-impact projects.

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 or advanced degrees can earn higher compensation, often including bonuses and stock options. The company also values technical expertise in areas like GPU architecture, AI, and deep learning.

How much do NVIDIA application engineers make?

NVIDIA application engineers typically earn between $80,000 and $130,000 annually, depending on experience, location, and level. Salaries can increase with specialized skills in GPU programming, deep learning, and related tools, and may include bonuses and benefits. Entry-level positions generally start lower, while senior roles can exceed this range.
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 cities near Chicago, IL are hiring for Nvidia Engineering jobs? Cities near Chicago, IL with the most Nvidia Engineering job openings:
Infographic showing various Nvidia Engineering job openings in Chicago, IL as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $151,295 per year, or $72.7 per hour.

Senior Embedded Software Engineer

Infleqtion

Chicago, IL • On-site

$127K - $167K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

At Infleqtion we solve the world’s most challenging problems using cutting-edge quantum technology. Our mission is to commercialize atom-based quantum products that provide orders of magnitude improvements in sensing and computing applications. We are proud to work tirelessly to create and lead the quantum ecosystem towards meaningful advancements today and set the technology roadmap for tomorrow.

POSITION SUMMARY

Within Infleqtion’s Computing Product Group (CPG), the Hardware Engineering Team is seeking a Senior Embedded Software Engineer to own and deliver high‑performance embedded and systems software enabling real‑time quantum error correction and classical control at scale. This role focuses on integrating NVIDIA high‑speed interconnects with quantum error‑correction decoding pipelines, in close collaboration with quantum software, physics, and hardware teams.
This position is scoped as a senior‑level individual contributor role: the engineer independently owns complex subsystems end‑to‑end within an established architecture, solves technically hard problems, interacts directly with external partners, and mentors developing engineers, without defining long‑term platform architecture. The engineer will also serve as a point-of-contact (POC) for subsystem hardware integration with NVidia’s NVQLink.

JOB RESPONSIBILITIES

Typically, you will be entrusted with:

  • Independently design, implement, validate, and maintain embedded and systems‑level software subsystems supporting real‑time quantum error correction and control.
  • Translate quantum error‑correction requirements (code distance, syndrome rates, latency budgets) into concrete classical compute, memory, and interconnect requirements.
  • Design systems that meet deterministic latency, bandwidth, and reliability requirements across CPU, GPU, FPGA, and high‑speed interconnect domains.
  • Serve as the technical point‑of‑contact for NVIDIA NVQLink integration, including topology, bandwidth modeling, latency characterization, and failure modes. Involves direct interaction with NVIDIA personnel as well as HPC experts in academia and US national labs.
  • Collaborate closely with Quantum Software, Physics, Electrical, and Systems Engineering to co‑design hardware/software interfaces.
  • Troubleshoot and resolve complex performance, scaling, and integration issues spanning firmware, drivers, OS (Embedded Linux / bare-metal environments), GPU runtimes, and hardware.
  • Develop and maintain validation infrastructure, performance benchmarks, and test harnesses for deterministic behavior and scaling.
  • Provide informal mentorship through design reviews, code reviews, and technical guidance.

Requirements

  • A degree (PhD preferred) in Computer Engineering, Electrical Engineering, Computer Science, or related field with experience in high-performance computing (HPC).
  • Demonstrated experience owning complex embedded or systems‑level software subsystems end‑to‑end.
  • Strong experience with C/C++ in performance‑critical systems.
  • Experience debugging across software and hardware boundaries (drivers, firmware, interconnects, timing).
  • Solid understanding of computer architecture fundamentals (memory hierarchies, interconnects, latency vs throughput tradeoffs).
  • Experience with hardware/software co‑design for quantum control systems
  • Experience working in Linux‑based embedded or HPC environments.
  • Familiarity with GPU programming models (CUDA or equivalent) at a systems level.

WE HIGHLY VALUE:

  • High‑performance computing (HPC) systems design or deployment.
  • Familiary with NVIDIA CUDA-Q
  • Direct experience with NVIDIA Holoscan Sensor Bridge, RDMA over Converged Ethernet, or similar high‑speed coherent interconnects.
  • Experience supporting or developing error‑correction decoding pipelines (quantum or classical).
  • Background similar to advanced academic research groups in quantum architectures or decoding (e.g., large‑scale syndrome decoding research).
  • Experience performance‑modeling compute systems as a function of problem size and algorithmic complexity.
  • Exposure to FPGA‑accelerated or heterogeneous compute systems.
  • Detail-oriented mindset with a strong sense of ownership and technical accountability. 
  • Positive, collaborative working style and enthusiasm for mentoring and developing engineers. 

NOTE:

  • Job responsibilities and requirements are illustrative, other responsibilities may be assigned as needed.
  • This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations (EAR) and the International Traffic in Arms Regulations (ITAR). Please note that any offer for employment may be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations without sponsorship for an export license.

Infleqtion does not accept unsolicited resumes from agencies. Infleqtion is not responsible for any fees related to unsolicited resumes.

TRAVEL

Up to 10% travel may be required.

WORKING CONDITIONS and PHYSICAL REQUIREMENTS

Work will normally be performed in an office and laboratory environment and around technical equipment including computers and lasers. Able to sit, stand, bend, lift and carry up to 40 pounds without assistance. Able to efficiently use automated office equipment such as laptops, copiers, and printers; able to effectively engage in communications (via phone, computer, or in-person). Any required Personal Protective Equipment will be provided and must be properly used in accordance with company requirements.

Benefits

The targeted salary range for this role is $140,000 to $175,000 on an annualized basis plus eligibility to participate in our annual incentive plan.

In addition to your base compensation, we offer a generous Total Rewards program which includes:

  • 100% company paid Employee coverage for Medical, Dental, Vision, and Short/Long Term Disability insurance programs
  • Employer funded Health Savings Account
  • Unlimited Paid Time Off
  • 401(k) Matching Programs
  • Company paid Life and AD&D Insurance
  • Flexible Healthcare Savings Account
  • Paid FMLA Leave
  • Paid Maternity/Paternity Leave
  • Employer Assistance Program
  • Student Loan Repayment
  • Equity Package

Equal Opportunity

Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin color, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer.

Contact Information

If this opportunity interests you and you fit the job description, please submit an application. If you need assistance or an accommodation due to disability, please feel free to contact us at hr@coldquanta.com.