1

Cuda Engineer Jobs in Connecticut (NOW HIRING)

Sr Engineer (Perception)

Shelton, CT · On-site

$104K - $143K/yr

Ranpak Corporation seeks a Sr. Perception Engineer, in Shelton, CT, to develop advanced software ... CUDA; strong command of linear algebra libraries such as Eigen; background in applying machine ...

Sr Engineer (Perception)

Shelton, CT

$104K - $143K/yr

Ranpak Corporation seeks a Sr. Perception Engineer, in Shelton, CT, to develop advanced software ... CUDA; strong command of linear algebra libraries such as Eigen; background in applying machine ...

Sr Engineer (Perception)

Shelton, CT · On-site

$104K - $143K/yr

Ranpak Corporation seeks a Sr. Perception Engineer, in Shelton, CT, to develop advanced software ... CUDA; strong command of linear algebra libraries such as Eigen; background in applying machine ...

Cuda Engineer information

See Connecticut salary details

$34.7K

$102.1K

$130.8K

How much do cuda engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for cuda engineer in Connecticut is $102,056.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,200.00 and $129,400.00 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 cities in Connecticut are hiring for Cuda Engineer jobs?

Cities in Connecticut with the most Cuda Engineer job openings:

Senior Quantum Software Engineer, Compiler

D-Wave

New Haven, CT • On-site

$123K - $162K/yr

Full-time

Re-posted 14 days ago


Job description

Job Summary:
D-Wave is a leader in the development and delivery of quantum computing systems, software, and services. They are seeking a Senior Quantum Software Engineer, Compiler to develop key pieces of their software platform, focusing on the compiler and interface to various quantum programming environments while collaborating with cross-functional teams.
Responsibilities:
• Collaborate with product managers, scientists, and other engineers to translate functional requirements into technical specifications and robust solutions
• Work directly with quantum application engineers and quantum physicists to understand how to convert quantum circuits into implementations targeting our industry-leading dual-rail qubit architecture
• Architect and build efficient, reliable, scalable, and maintainable compiler software and tools
• Write clean, well-documented code and conduct thorough code reviews to ensure code quality and maintainability
• Troubleshoot and debug issues, identify bottlenecks, and implement solutions to optimize performance and improve the user experience
• Provide software mentorship and guidance on best practices and help drive adherence to software best practices
Qualifications:
Required:
• Master’s degree in computer science, electrical/computer engineering, math, physics, chemistry, or equivalent experience with strong physics aptitude.
• 5+ years of hands-on software development experience with C, C++, Python, or another general-purpose compiled programming language.
• Strong understanding of compiler design fundamentals.
• 2+ years developing compiler software/transpiling quantum models and using quantum API’s (Qiskit, CUDA-Q, Q#, or Cirq) to convert quantum circuits into quantum logic and basis gates.
• Experience with intermediate representations such as QIR and compiler toolchain technologies including LLVM, MLIR, lexers, and parsers.
• Experience programming with one or more high level quantum programming languages and/or models such as Qiskit, CUDA-Q, Q#, or Cirq.
• Proficient with database systems and SQL with hands-on experience working with relational databases (e.g. PostgreSQL, Oracle).
• Competence with Git version control, build tools, and CI/CD pipelines.
• Use of software testing principles and practices, including unit testing, integration testing, and end-to-end testing.
• Strong problem-solving skills, attention to detail, and the ability to work in a collaborative team environment.
• Excellent communication and interpersonal skills with the ability to effectively communicate complex technical concepts.
Preferred:
• PhD in computer science, electrical/computer engineering, math, physics, or chemistry
• 7+ years of hands-on software development experience with C, C++, Python, or another general-purpose compiled programming language
• 5+ years developing compiler software/transpiling quantum models and using APIs such as Qiskit, CUDA-Q, Q#, or Cirq to convert quantum circuits into quantum logic and basis gates
• 2+ years directly programming with one or more high level quantum programming languages and/or models (Qiskit, CUDA-Q, Q#, or Cirq)
• Experience in scientific computing, quantum physics, or quantum computing
• Experience developing toolkits, compilers, or runtime environments for heterogenous architectures
• Experience with ahead-of-time and just-in-time compilation for quantum computing
• Experience with embedded systems, algorithms, and/or low-level control software for hardware a plus including optimizing interfaces to hardware systems
• Experience with multi-threaded programming, execution, and HPC architectures
• Experience with meta programming languages
Company:
D-Wave is a leader in the development and delivery of quantum computing systems, software, and services. Founded in 1999, the company is headquartered in Palo Alto, USA, with a team of 51-200 employees. The company is currently Growth Stage.