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Cuda Engineer Jobs in Nevada (NOW HIRING)

Senior Solutions Engineer

Las Vegas, NV · On-site

$52.75 - $68/hr

If you're an engineer who loves the detective work of kernel-level debugging and high-performance ... Proficient in orchestrating GPU workloads and diagnosing training job failures using ROCm or CUDA.

Senior Solutions Engineer

Las Vegas, NV · On-site +1

$52.75 - $68/hr

If you're an engineer who loves the detective work of kernel-level debugging and high-performance ... Proficient in orchestrating GPU workloads and diagnosing training job failures using ROCm or CUDA.

Sr AI/ML Engineer

Sparks, NV · On-site

$106K - $146K/yr

The Senior AI/ML Engineer is a highly skilled and experienced professional responsible for leading ... Experience with hardware acceleration technologies (e.g., CUDA, TensorRT) and high-performance ...

Work directly with customer engineering teams in writing and on calls, matching their technical ... depth with NVIDIA/CUDA, * Experience diagnosing high-speed networking issues, RDMA, link ...

New

Work directly with customer engineering teams in writing and on calls, matching their technical ... depth with NVIDIA/CUDA, * Experience diagnosing high-speed networking issues, RDMA, link ...

New

Technical Program Manager

Las Vegas, NV · On-site

$123K - $159K/yr

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical ... Experience with AMD GPU architectures (ROCm, Instinct GPUs) or competitive platforms (NVIDIA CUDA ...

Technical Program Manager

Las Vegas, NV · On-site

$123K - $159K/yr

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical ... Experience with AMD GPU architectures (ROCm, Instinct GPUs) or competitive platforms (NVIDIA CUDA ...

Cuda Engineer information

See Nevada salary details

$37.2K

$109.2K

$140K

How much do cuda engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for cuda engineer in Nevada is $109,246.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,100.00 and $138,500.00 per year, depending on experience, location, and employer.

What is a CUDA engineer?

CUDA Engineers are software developers who specialize in using NVIDIA's CUDA (Compute Unified Device Architecture) platform to write programs that run on Graphics Processing Units (GPUs). They optimize and accelerate computational tasks by parallelizing code, making use of GPUs’ capabilities for high-performance computing. CUDA Engineers often work in fields like machine learning, scientific computing, and graphics, where large amounts of data need to be processed quickly. Their expertise includes proficiency in C/C++, CUDA programming, and understanding GPU hardware and parallel computing concepts.

What are the key skills and qualifications needed to thrive as a CUDA engineer?

To thrive as a CUDA Engineer, you need a strong proficiency in C/C++ programming, parallel computing concepts, and deep knowledge of GPU architectures, often supported by a computer science or engineering degree. Experience with NVIDIA CUDA Toolkit, profiling/debugging tools, and sometimes certifications like NVIDIA DLI are highly valuable. Strong problem-solving, attention to detail, and effective communication skills help you optimize code and collaborate across teams. These skills ensure efficient development of high-performance GPU applications and successful project delivery in compute-intensive fields.

What are some common challenges faced by CUDA engineers when optimizing GPU-accelerated applications?

CUDA Engineers frequently encounter challenges such as managing memory effectively between the host and the device, optimizing kernel performance, and minimizing data transfer bottlenecks. Debugging parallel code can also be complex due to race conditions and the difficulty of reproducing timing-related bugs. Collaborating closely with software developers and data scientists is essential to ensure that GPU resources are leveraged efficiently and that the application's overall performance meets project goals.

What is the difference between Cuda Engineer vs GPU Developer?

AspectCuda EngineerGPU Developer
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related; knowledge of CUDA, C++, parallel programmingBachelor's or Master's in Computer Science, Engineering, or related; experience with GPU programming, CUDA, OpenCL
Work EnvironmentResearch labs, tech companies, hardware firms focusing on GPU accelerationSoftware development teams, gaming, AI, scientific computing sectors
Employer & Industry UsageHardware manufacturers, AI companies, high-performance computing firmsGame development, scientific research, machine learning applications

While both roles involve GPU programming and CUDA expertise, a Cuda Engineer primarily focuses on developing and optimizing CUDA-based solutions for hardware acceleration. In contrast, a GPU Developer works on broader GPU programming tasks, including application development across various platforms. The roles often overlap but differ in scope and specific focus areas.

What are popular job titles related to Cuda Engineer jobs in Nevada?

For Cuda Engineer jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Cuda Engineer jobs in Nevada look for?

The top searched job categories for Cuda Engineer jobs in Nevada are:

What cities in Nevada are hiring for Cuda Engineer jobs?

Cities in Nevada with the most Cuda Engineer job openings:

Infographic showing various Cuda Engineer job openings in Nevada as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $109,246 per year, or $52.5 per hour.

Senior Solutions Engineer

Las Vegas, NV • On-site

$52.75 - $68/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted just now


Job description

About TensorWave

Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.

About the Role

We're looking for a Senior Solutions Engineer to serve as the elite escalation point between our Global Operations Center (GOC) and our Core Engineering teams. You are the technical backstop for our most sophisticated customers teams training large models who cannot afford a single hour of downtime.

You'll own the problems that go beyond runbooks, sitting at the intersection of customer success and engineering: resolving the hardest technical blockers and translating those findings into a more resilient product. If you're an engineer who loves the detective work of kernel-level debugging and high-performance networking, and who also thrives in the high stakes environment of customer-facing resolution, this is your role.

What You’ll Do

  • Resolve Complex Escalations: Act as the final authority on issues exceeding GOC scope, utilizing code-level debugging and architectural investigation.

  • Direct Customer Engagement: Partner with customer technical leads to diagnose production issues, ensuring transparency and rapid resolution through active collaboration.

  • Iterative Problem Solving: Develop diagnostic scripts and workarounds to maintain customer operations while long-term patches are in development.

  • Drive Root Cause Analysis: Own end-to-end P1 resolution, partnering with TAMs to deliver clear, actionable post-incident analysis.

  • Bridge to Engineering: Convert recurring customer pain points into evidence-based feature requests, influencing product roadmap to resolve systemic failures.

  • Build Scalable Knowledge: Document non-obvious platform behaviors and refine GOC runbooks, ensuring institutional knowledge grows with every incident.

Who You Are

Required Qualifications

  • 5–9 years in Infrastructure Engineering, Platform Engineering, or SRE, with a specific focus on high-performance computing or large-scale AI stacks. Proven track record of managing complex production environments where system reliability is mission-critical.

  • Kubernetes Expert: Deep experience in cluster administration and scheduler internals; comfortable reading/modifying controller code.

  • AI/GPU Infrastructure Specialist: Proficient in orchestrating GPU workloads and diagnosing training job failures using ROCm or CUDA.

  • Network Pathologist: Skilled in RDMA/RoCEv2, SRIOV, and BGP; capable of interpreting switch telemetry to identify silent packet drops.

  • Linux Power User: Expert in kernel networking, hugepages, and cgroups; able to debug at the OS layer when applications are silent.

  • Builder Mindset: Proficient in Python and Ansible; capable of writing custom diagnostic tools to automate remediation.

  • Executive Communicator: Strong technical rigor when presenting findings to VPs of Engineering, maintaining trust while delivering difficult updates.

Preferred Qualifications

  • Prior experience in a customer-facing engineering role (e.g., Solutions Engineering, Technical Support Engineering).

  • Experience in high-uptime environments where 24/7/365 availability is required.

What We Offer

  • Stock Options

  • 100% paid Medical, Dental, and Vision insurance for Employees

  • Company Health Savings Account Contributions

  • 100% paid Short Term and Long Term Disability Insurance for Employees

  • Life and Voluntary Supplemental Insurance Options

  • Other Insurance Options, such as Pet & Legal Insurance

  • Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support

  • Flexible Spending Account

  • 401(k)

  • Employee Assistance Program

  • Flexible PTO

  • Paid Holidays

  • Parental Leave

  • Other In-Office Perks

Equal Employment Opportunity

TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law.

Reasonable Accommodations

TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com.

Employment Eligibility

All offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law.

Background Checks

Where permitted by law, employment may be contingent upon the successful completion of a job-related background check.

Data Privacy Notice

By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.