ZipRecruiter

Log In

1

Cuda Engineer Jobs in Texas (NOW HIRING)

Nvidia

Senior HPC Storage Engineer

Austin, TX

Proficient with NVIDIA GPUs, CUDA programming, and NCCL, including performance benchmarking via MLPerf. * Hardware & Storage Engineering: Deep familiarity with storage hardware (HDDs, SSDs, NVMe ...

Bot Auto

GPU Engineer

Houston, TX · On-site

Preferred : * 3+ years of experience in GPU programming and optimization (e.g., CUDA, OpenCL ... Vulkan). * Experience with NVIDIA Jetson Thor, NVIDIA DRIVE Thor , or similar embedded GPU ...

Bot Auto

GPU Engineer

Houston, TX

Preferred : * 3+ years of experience in GPU programming and optimization (e.g., CUDA, OpenCL ... Vulkan). * Experience with NVIDIA Jetson Thor, NVIDIA DRIVE Thor , or similar embedded GPU ...

Allen Control Systems

Software Engineer

Austin, TX · On-site

Preferred : • Experience with GPU programming (CUDA, OpenCL) or parallel computing. • Knowledge of networking protocols and distributed systems. • Exposure to machine learning frameworks ...

Allen Control Systems

Software Engineer

Austin, TX · On-site

Preferred : • Experience with GPU programming (CUDA, OpenCL) or parallel computing. • Knowledge of networking protocols and distributed systems. • Exposure to machine learning frameworks ...

Nvidia

Senior Software Engineer - TensorRT Edge-LLM

Austin, TX · Hybrid

$121K - $160K/yr

Contribute to CUDA kernel and operator development for critical transformer components such as ... Proficient programming ability with modern C++ (C++11/14/17 and beyond). * Familiarity with popular ...

Nvidia

Senior HPC Cluster Engineer

Austin, TX · On-site

$103K - $142K/yr

Background with NVIDIA GPUs, CUDA Programming, NCCL and MLPerf benchmarking. * Experience supporting EDA workloads and tools. * Familiarity with High-Speed Networking pertaining to HPC including ...

AMSYS Talent

LLM Infrastructure Engineer

Houston, TX · On-site

$97K - $127K/yr

Optimize GPU workloads and CUDA memory usage * Implement streaming inference APIs for real-time ... A hands-on engineer who understands how LLM systems run in production-from model loading and ...

Hudson River Trading

GPU Systems Engineer

Austin, TX · On-site

Hudson River Trading (HRT) is looking for GPU Systems Engineers to help scale and evolve our ... CUDA or C/C++ experience is a plus * Experience with NVIDIA technologies beyond CUDA, such as NCCL ...

Allen Control Systems

Software Engineer

Austin, TX · On-site

Preferred : • Experience with GPU programming (CUDA, OpenCL) or parallel computing. • Knowledge of networking protocols and distributed systems. • Exposure to machine learning frameworks ...

previous page

Showing results 41-60

All JobsCuda Engineer JobsCuda Engineer Jobs in Texas

Cuda Engineer information

See Texas salary details

$34K

$99.9K

$128.1K

How much do cuda engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for cuda engineer in Texas is $99,949.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,500.00 and $126,700.00 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 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.

How much do Cuda engineers make?

Cuda engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in GPU programming and parallel computing tend to have higher salaries. Certifications and a strong understanding of CUDA tools can also influence compensation.

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 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.

Are CUDA engineers in demand?

CUDA engineers are in high demand due to the increasing use of GPU computing in fields like artificial intelligence, machine learning, and high-performance computing. Skills in CUDA programming, parallel processing, and related tools are highly valued by employers across technology, research, and industry sectors.
What are popular job titles related to Cuda Engineer jobs in Texas? For Cuda Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Cuda Engineer jobs in Texas look for? The top searched job categories for Cuda Engineer jobs in Texas are:
What cities in Texas are hiring for Cuda Engineer jobs? Cities in Texas with the most Cuda Engineer job openings:
Cuda Engineer jobs near you
Infographic showing various Cuda Engineer job openings in Texas as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $99,949 per year, or $48.1 per hour.

Principal Software Engineer - Control Systems

Atom Computing

Austin, TX • On-site

$165 - $200/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

At Atom Computing, we build quantum computers using arrays of optically trapped neutral atoms that will empower customers to achieve unprecedented computational breakthroughs. Join a world-class team of scientists, engineers, and business professionals to advance the state-of-the-art in quantum computing.

We are seeking a Principal Software Engineer to help design and build the high-performance control systems that drive our next-generation quantum computing platforms. In this role, you’ll work across embedded software, real-time systems, GPU/FPGA acceleration, and hardware orchestration to deliver deterministic, high-throughput control pipelines. Your work will directly shape how our quantum processors operate, scale, and perform.

This is a hands-on engineering role for someone who loves deep systems work, understands hardware/software co-design, and thrives at the intersection of physics, architecture, and performance engineering. Due to the need for collaboration with Atom’s theory, software and hardware teams, this role is required to be in the office in Boulder or Austin at least 3 days per week.

Job Responsibilities
  • Build and test embedded firmware and software powering high-speed software defined radios (SDRs), imaging pipelines, precision scientific instrumentation, and real-time digital feedback loops.
  • Design and optimize deterministic, low-latency software for quantum hardware — including device drivers, Linux kernel modules, and custom subsystems.
  • Evaluate and architect real-time execution strategies across Linux and RTOS environments; drive design decisions around determinism, throughput, and system scalability.
  • Develop orchestration layers coordinating GPUs, FPGAs, and custom electronics for high-bandwidth, tightly synchronized quantum control operations.
  • Rapidly prototype and iterate using Rust, Python, C/C++, and CUDA
  • Collaborate with quantum theorists, hardware engineers, and platform software teams to translate quantum control flows into fast, reliable, production-ready code.
Experience & Education
  • Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.Advanced degree a plus
  • At least 8 years of relevant postgraduate professional experience
Qualifications
  • Proficiency in software development using C++, Python, Rust, or Go; experience with NVIDIA CUDA toolchains and ability to apply these skills in rapid prototyping and production systems.
  • Knowledge in one or more of the following areas: computer architecture, signal processing, algorithm development, quantum error correction, distributed systems, or compilers, with a willingness to learn across disciplines as needed.
  • Organizational, coordination, and multi-tasking expertise.
  • Excellent analytical and problem-solving skills involving large-scale systems.
  • Strong interpersonal skills and commitment to teamwork

$165,000 - $200,000 a year

  • Atom Computing provides a wide variety of perks and benefits, including fully paid medical,dental, and vision insurance for our employees and their dependents.
  • Additionally, unlimited paid time off, 401K company matching, short- and long-term disability, FSA, dependent care benefits, and life insurance.
  • We also offer drinks, snacks, and catered team lunches in our offices, every day!

The base salary range for this position is between $165,000 - $200,000, commensurate with experience. In addition to salary, we offer an annual bonus and equity in the company.

#J-18808-Ljbffr

Apply