Software Systems Engineer Jobs at NVIDIA with Visa Sponsorship
Software Systems Engineer jobs at NVIDIA sit at the intersection of hardware architecture and low-level software development, spanning GPU drivers, system firmware, and platform infrastructure. NVIDIA has a consistent track record of sponsoring international engineers across H-1B visa, E-3 visa, and Green Card pathways, making it a realistic target for skilled candidates who need work authorization.
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Get Access To All JobsINTRODUCTION
NVIDIA Cloud Functions team is looking for a motivated, product-minded AI/ML Engineer with domain expertise in AI platform engineering at scale. Our team builds and operates a serverless deployment platform for enabling AI applications. Our product enables and scales AI inferencing workloads using globally distributed orchestration of workloads on GPU-backed cloud-agnostic Kubernetes clusters. You will be working with a team of passionate and skilled engineers that are continuously innovating at the speed of light to provide the best product possible, for both external customers and internal NVIDIA teams. We are looking for someone to join us at the forefront of defining cloud engineering paradigms for AI at scale.
ROLE AND RESPONSIBILITIES:
- Becoming a trusted subject matter expert by understanding user challenges and constraints. Translate this into product requirements and solutions, accelerating delivery of AI models and inference hosted on the NVCF platform.
- Leading implementation of key features. Conducting user-acceptance testing, load testing and performance evaluations. Emphasis on customer experience, performance optimization and platform reliability.
- Mentoring and embedding with other engineering teams building products on top of our platform on best practices for AI/ML workloads at scale with excellent performance, including ML reliability engineering at scale.
- Producing reference architectures to guide customer use cases, applying the newest NVCF product features with the latest AI technologies.
- Shepherding customer issues to resolution and providing timely warning of issues and risks.
- Evaluating new and innovative technologies and tooling as the AI-at-scale landscape evolves to ensure we have a competitive product and forward-looking roadmap.
BASIC QUALIFICATIONS:
- Masters, PhD, or equivalent experience in Computer Science, Artificial Intelligence, Applied Math, or related field
- At least 2 years work experience with Python, Rust, Golang, Linux or Bash.
- Experience in Deep Learning and Machine Learning; expertise in using AI/DL frameworks and inferencing software such as SGLang, vLLM, TensorRT-LLM, or Dynamo.
- Knowledge of CPU and GPU architecture.
- Excellent interpersonal skills including ability to explain sophisticated technical topics to non-experts.
- Experience in the design, implementation, and release of AI/ML products to market. A flexible technologist familiar with all aspects of the software development lifecycle.
PREFERRED QUALIFICATIONS:
- Demonstrate a strong desire to share knowledge with clients, partners and co-workers, able to show this through previous work.
- Demonstrate expertise through projects or Open Source contributions in HPC, Data Analytics, Machine Learning, Deep Learning, Cloud Native Projects, Kubernetes, Slurm, or enabling GPU workloads.
- Show a willingness and ability to dig into unfamiliar territories to tackle complex problems through examples in previous work.
- Prior experience in building distributed systems.
NVIDIA offers highly competitive salaries and a comprehensive benefits package. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. Are you a creative engineer with a drive for advancing the state of AI and bringing it to the cloud? If you love to tackle problems and advocate for continuous, innovative improvement, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 13, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
INTRODUCTION
NVIDIA Cloud Functions team is looking for a motivated, product-minded AI/ML Engineer with domain expertise in AI platform engineering at scale. Our team builds and operates a serverless deployment platform for enabling AI applications. Our product enables and scales AI inferencing workloads using globally distributed orchestration of workloads on GPU-backed cloud-agnostic Kubernetes clusters. You will be working with a team of passionate and skilled engineers that are continuously innovating at the speed of light to provide the best product possible, for both external customers and internal NVIDIA teams. We are looking for someone to join us at the forefront of defining cloud engineering paradigms for AI at scale.
ROLE AND RESPONSIBILITIES:
- Becoming a trusted subject matter expert by understanding user challenges and constraints. Translate this into product requirements and solutions, accelerating delivery of AI models and inference hosted on the NVCF platform.
- Leading implementation of key features. Conducting user-acceptance testing, load testing and performance evaluations. Emphasis on customer experience, performance optimization and platform reliability.
- Mentoring and embedding with other engineering teams building products on top of our platform on best practices for AI/ML workloads at scale with excellent performance, including ML reliability engineering at scale.
- Producing reference architectures to guide customer use cases, applying the newest NVCF product features with the latest AI technologies.
- Shepherding customer issues to resolution and providing timely warning of issues and risks.
- Evaluating new and innovative technologies and tooling as the AI-at-scale landscape evolves to ensure we have a competitive product and forward-looking roadmap.
BASIC QUALIFICATIONS:
- Masters, PhD, or equivalent experience in Computer Science, Artificial Intelligence, Applied Math, or related field
- At least 2 years work experience with Python, Rust, Golang, Linux or Bash.
- Experience in Deep Learning and Machine Learning; expertise in using AI/DL frameworks and inferencing software such as SGLang, vLLM, TensorRT-LLM, or Dynamo.
- Knowledge of CPU and GPU architecture.
- Excellent interpersonal skills including ability to explain sophisticated technical topics to non-experts.
- Experience in the design, implementation, and release of AI/ML products to market. A flexible technologist familiar with all aspects of the software development lifecycle.
PREFERRED QUALIFICATIONS:
- Demonstrate a strong desire to share knowledge with clients, partners and co-workers, able to show this through previous work.
- Demonstrate expertise through projects or Open Source contributions in HPC, Data Analytics, Machine Learning, Deep Learning, Cloud Native Projects, Kubernetes, Slurm, or enabling GPU workloads.
- Show a willingness and ability to dig into unfamiliar territories to tackle complex problems through examples in previous work.
- Prior experience in building distributed systems.
NVIDIA offers highly competitive salaries and a comprehensive benefits package. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. Are you a creative engineer with a drive for advancing the state of AI and bringing it to the cloud? If you love to tackle problems and advocate for continuous, innovative improvement, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 13, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
See all Software Systems Engineer Jobs at NVIDIA
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Software Systems Engineer Jobs at NVIDIA.
Get Access To All JobsTips for Finding Software Systems Engineer Jobs at NVIDIA
Tailor your resume to NVIDIA's stack
NVIDIA's Software Systems Engineer postings consistently emphasize CUDA, Linux kernel internals, firmware development, and PCIe or NVLink experience. Aligning your resume to these specifics signals you can contribute from day one, which matters when a team is evaluating both technical fit and sponsorship overhead.
Target teams actively filing LCAs
NVIDIA files Labor Condition Applications through the DOL for every H-1B placement. Searching public OFLC disclosure data for NVIDIA's Software Systems Engineer LCA filings reveals which internal teams and office locations are hiring internationally, helping you prioritize where to apply.
Confirm E-3 eligibility before your first interview
If you're an Australian citizen, the E-3 visa moves faster than H-1B and sidesteps the annual lottery. NVIDIA sponsors E-3s for this function, so declare your nationality and visa pathway early in the recruiter screening call to frame the timeline correctly.
Prepare a specialty occupation evidence file
USCIS scrutinizes whether Software Systems Engineer roles genuinely require a bachelor's degree or higher in a specific technical field. Gather transcripts, degree certificates, and any credential evaluations early so your employer's immigration counsel can build a strong I-129 petition from the start.
Use Migrate Mate to surface open roles faster
NVIDIA's Software Systems Engineer openings that include visa sponsorship are filterable on Migrate Mate, saving you from manually screening dozens of job listings for sponsorship language buried in job descriptions or recruiter notes.
Clarify Green Card timeline expectations at offer stage
NVIDIA sponsors EB-2 and EB-3 Green Cards for engineering roles, but PERM labor certification timelines vary significantly by DOL processing backlogs and your country of chargeability. Ask your recruiter directly whether the team initiates PERM in year one or after a standard service period.
Frequently Asked Questions
Does NVIDIA sponsor H-1B visas for Software Systems Engineers?
Yes, NVIDIA sponsors H-1B visas for Software Systems Engineer roles. The company files petitions through the standard USCIS H-1B cap process, which includes the annual lottery held each April for an October 1 start date. If you're already in H-1B status with another employer, NVIDIA can also file an H-1B transfer, which lets you start work as soon as USCIS receives the petition.
How do I apply for Software Systems Engineer jobs at NVIDIA?
Apply directly through NVIDIA's careers portal and filter by engineering discipline and location. For roles that include visa sponsorship, Migrate Mate aggregates NVIDIA's open Software Systems Engineer positions so you can confirm sponsorship availability before applying. Tailor your application to the specific platform or domain listed in the job description, whether that's GPU firmware, driver development, or system software, since NVIDIA's hiring teams are highly specialized.
Which visa types does NVIDIA commonly use for Software Systems Engineer roles?
NVIDIA sponsors H-1B, E-3, and Green Card pathways (EB-2 and EB-3) for Software Systems Engineer positions. H-1B is the most common path for candidates from non-treaty countries. Australian citizens can pursue the E-3, which has no lottery and allows two-year renewable status. For long-term employees, NVIDIA initiates PERM labor certification as the first step toward a Green Card.
What qualifications does NVIDIA expect for Software Systems Engineer roles?
Most Software Systems Engineer postings at NVIDIA require a bachelor's degree or higher in computer engineering, electrical engineering, or computer science. Practically, strong candidates have hands-on experience with Linux kernel development, embedded firmware, or GPU architecture. For USCIS specialty occupation purposes, your degree field needs to directly relate to the role's core technical responsibilities, so generalist software degrees may require additional documentation.
How do I time a visa filing around an NVIDIA offer?
If you're subject to the H-1B cap, timing is tight. Registrations open in March for an October 1 start, so an offer in Q4 or Q1 may mean waiting nearly a year. E-3 applicants move faster since there's no lottery and consular appointments in Australia typically run two to four weeks out. NVIDIA's immigration counsel coordinates directly with you after the offer stage, so ask your recruiter to initiate that introduction as early as possible.