1

Cuda Developer Jobs in Austin, TX (NOW HIRING)

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

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

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 ...

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

Senior ML Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

You'lljoin a group ofdeepcompiler, systems, and GPU engineerswho enjoyworking onhard problems,anddiving into MLIR/ONNXand CUDA/TensorRTinternals. We value clear thinking, strong engineering ...

Senior GPU Compiler Development Engineer

Austin, TX · On-site

$121K - $160K/yr

Preferred : • Experience in Programming Languages design and drafting programming language standards. • Knowledge of GPU development and compute APIs such as CUDA, and OpenCL. • Development ...

Showing results 41-60

Cuda Developer information

See Austin, TX salary details

$47.6K

$110.9K

$164.5K

How much do cuda developer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for cuda developer in Austin, TX is $110,862.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,200.00 and $128,900.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Cuda developers in their daily work?

Cuda Developers often encounter challenges related to optimizing code for maximum performance while managing the unique memory hierarchies and parallel processing features of GPU architectures. Debugging and profiling GPU code can be more complex than standard CPU programming, requiring specialized tools and a strong understanding of concurrency. Collaboration with data scientists, machine learning engineers, and software architects is common, as Cuda Developers often integrate their code into larger, multi-disciplinary projects. These challenges make the role both stimulating and rewarding for those who enjoy solving intricate computational problems.

What are the key skills and qualifications needed to thrive in the Cuda developer position, and why are they important?

To thrive as a Cuda Developer, you need strong proficiency in C/C++ programming, parallel computing concepts, and hands-on experience with NVIDIA CUDA architecture. Familiarity with GPU development tools such as NVIDIA Nsight, CUDA Toolkit, and relevant certifications can further validate your expertise. Problem-solving skills, attention to detail, and effective collaboration are valuable soft skills in this position. These capabilities are crucial for efficiently developing, debugging, and optimizing high-performance GPU-accelerated applications in demanding computational environments.

What is a Cuda developer?

A CUDA Developer is a software engineer who specializes in programming using NVIDIA's CUDA (Compute Unified Device Architecture) platform. They leverage parallel computing to optimize and accelerate applications, mainly in fields like AI, scientific computing, and high-performance computing. Their responsibilities often include writing GPU-accelerated code, optimizing performance, and working with frameworks like TensorFlow or PyTorch.

What are the most commonly searched types of Cuda Developer jobs in Austin, TX? The most popular types of Cuda Developer jobs in Austin, TX are:
What are popular job titles related to Cuda Developer jobs in Austin, TX? For Cuda Developer jobs in Austin, TX, the most frequently searched job titles are:
Infographic showing various Cuda Developer job openings in Austin, TX as of July 2026, with employment types broken down into 82% Full Time, 5% Part Time, and 13% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $110,862 per year, or $53.3 per hour.

Principal Software Engineer - Control Systems

Atom Computing

Austin, TX • On-site

$165K - $200K/yr

Full-time

Posted 13 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

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.