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Gpu Performance Engineer Jobs in Colorado (NOW HIRING)

AI/ML Engineer II

Lone Tree, CO · On-site

$99K - $136K/yr

The AI/ML Engineer II is a mid-level position for individuals with professional experience in ... Conduct simulations and performance profiling of AI/ML models on CPU/GPU architectures, identifying ...

AI/ML Engineer II

Lone Tree, CO · On-site

$99K - $136K/yr

The AI/ML Engineer II is a mid-level position for individuals with professional experience in ... Conduct simulations and performance profiling of AI/ML models on CPU/GPU architectures, identifying ...

Principal AI/ML Engineer

Englewood, CO · On-site

$75 - $80.15/hr

Monitoring and performance tracking * Validation and continuous improvement * Ensure AI/ML ... Evaluate advancements in transformers, RLHF, generative AI, explainable AI (XAI), edge AI, GPU ...

Showing results 21-40

Gpu Performance Engineer information

What are some common challenges faced by a GPU performance engineer when optimizing graphics workloads?

GPU Performance Engineers often encounter challenges such as identifying performance bottlenecks within complex graphics pipelines, balancing resource utilization, and achieving optimal frame rates across diverse hardware configurations. They must use specialized profiling tools and collaborate closely with developers, driver engineers, and QA teams to address issues like memory bandwidth limitations or shader inefficiencies. Staying updated with rapidly evolving GPU architectures and optimizing for both current and next-generation hardware are also key aspects of the role.

What is a GPU performance engineer?

A GPU Performance Engineer is a specialist who analyzes, optimizes, and improves the performance of graphics processing units (GPUs). They work on identifying bottlenecks, optimizing code, and ensuring that GPU hardware and software deliver maximum efficiency and speed. Their role may involve working with drivers, firmware, and applications to enhance graphics and compute workloads. This job is essential in industries like gaming, AI, and high-performance computing where GPU efficiency directly impacts user experience and system performance.

What are the key skills and qualifications needed to thrive as a GPU performance engineer, and why are they important?

To thrive as a GPU Performance Engineer, you need a strong background in computer architecture, programming (C/C++), and a degree in computer science, electrical engineering, or a related field. Proficiency with GPU profiling tools (e.g., NVIDIA Nsight, AMD Radeon GPU Profiler), performance analysis frameworks, and parallel computing libraries like CUDA or OpenCL is typically required. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with developers and debugging performance bottlenecks. These skills and qualities are essential for optimizing GPU performance, ensuring efficient software-hardware interaction, and delivering high-quality graphics or compute solutions.

What is the difference between Gpu Performance Engineer vs Gpu Hardware Engineer?

AspectGpu Performance EngineerGpu Hardware Engineer
Primary FocusOptimizing GPU performance, benchmarking, and tuning softwareDesigning, developing, and testing GPU hardware components
Required SkillsProgramming, performance analysis, GPU architecture knowledgeHardware design, circuit analysis, FPGA/ASIC experience
Work EnvironmentSoftware development teams, labs for testing performanceHardware labs, manufacturing facilities, R&D centers
Common CertificationsNone specific, often requires computer engineering or related degreesElectrical engineering, VLSI design certifications

The Gpu Performance Engineer primarily focuses on optimizing and testing GPU software performance, while the Gpu Hardware Engineer designs and develops the physical GPU components. Both roles require a strong background in computer engineering, but differ in their core responsibilities and work environments.

What are popular job titles related to Gpu Performance Engineer jobs in Colorado? For Gpu Performance Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Gpu Performance Engineer jobs in Colorado look for? The top searched job categories for Gpu Performance Engineer jobs in Colorado are:
What cities in Colorado are hiring for Gpu Performance Engineer jobs? Cities in Colorado with the most Gpu Performance Engineer job openings:

Senior Embedded Software Engineer (Quantum Computing)

Infleqtion

Boulder, CO

$128K - $168K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 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 highperformance embedded and systems software enabling realtime quantum error correction and classical control at scale. This role focuses on integrating NVIDIA highspeed interconnects with quantum errorcorrection decoding pipelines, in close collaboration with quantum software, physics, and hardware teams. 
This position is scoped as a seniorlevel individual contributor role: the engineer independently owns complex subsystems endtoend within an established architecture, solves technically hard problems, interacts directly with external partners, and mentors developing engineers, without defining longterm 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 systemslevel software subsystems supporting realtime quantum error correction and control. 
  • Translate quantum errorcorrection 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 highspeed interconnect domains. 
  • Serve as the technical pointofcontact 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 codesign 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 systemslevel software subsystems endtoend. 
  • Strong experience with C/C++ in performancecritical 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 codesign for quantum control systems 
  • Experience working in Linuxbased embedded or HPC environments. 
  • Familiarity with GPU programming models (CUDA or equivalent) at a systems level. 

WE HIGHLY VALUE: 

  • Highperformance computing (HPC) systems design or deployment. 
  • Familiary with NVIDIA CUDA-Q 
  • Direct experience with NVIDIA Holoscan Sensor Bridge, RDMA over Converged Ethernet, or similar highspeed coherent interconnects. 
  • Experience supporting or developing errorcorrection decoding pipelines (quantum or classical). 
  • Background similar to advanced academic research groups in quantum architectures or decoding (e.g., largescale syndrome decoding research). 
  • Experience performancemodeling compute systems as a function of problem size and algorithmic complexity. 
  • Exposure to FPGAaccelerated or heterogeneous compute systems. 
  • Detail-oriented mindset witha strong senseof 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.