1

Gpu Performance Engineer Jobs in Connecticut (NOW HIRING)

... GPU/TPU architectures, high-performance interconnects (InfiniBand, NVLink), and current cooling and ... AI & Engineering leverages innovative engineering capabilities to build, deploy, and operate ...

... GPU/TPU architectures, high-performance interconnects (InfiniBand, NVLink), and current cooling and ... AI & Engineering leverages innovative engineering capabilities to build, deploy, and operate ...

Gpu Performance Engineer information

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 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 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 job categories do people searching Gpu Performance Engineer jobs in Connecticut look for?

The top searched job categories for Gpu Performance Engineer jobs in Connecticut are:

What cities in Connecticut are hiring for Gpu Performance Engineer jobs?

Cities in Connecticut with the most Gpu Performance Engineer job openings:

Infographic showing various Gpu Performance Engineer job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 9% Part Time, 2% Temporary, and 4% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.

Senior Hardware Engineer

Akamai Technologies, Inc.

Hartford, CT • On-site

$126.10 - $261.90/hr

Other

Posted 4 days ago


Akamai Technologies rating

8.0

Company rating: 8.0 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

125th of 246 rated software companies


Job description

You will focus on the SmartNIC/DPU software and hardware that underpins our compute and GPU servers. These DPUs offload CPU resources, improve isolation, and accelerate services across Akamai Cloud. You will help define and integrate host + DPU architectures, validate RoCE and virtualization capabilities, and drive platform offload and acceleration from early concepts through mass production and global deployment.

Responsibilities
  • Driving DPU hardware and software integration into Akamai compute and GPU server platforms, including PCIe, networking, storage, and manageability interfaces.
  • Planning and executing validation for DPU platforms, including functional, performance, interoperability, stress, and reliability testing for data-center scale use cases.
  • Implementing and validating networking and offload features such as RDMA/RoCE, L2/L3/L4 Ethernet/IP forwarding, SR-IOV/virtio-net/vDPA, overlay networks, and congestion control behaviors.
  • Developing automation, scripts, and test tooling to exercise DPUs, collect telemetry at scale, and turn results into requirements.
  • Collaborating closely with cross-functional teams to translate workload and SLO requirements into configurations and test plans.
  • Working with vendors to evaluate new DPU generations, firmware and feature updates, and trade‑offs between performance, efficiency, supply continuity, and TCO.
Qualifications
  • Have 8 years of relevant experience and a Bachelor’s degree in Computer Engineering or a related field.
  • Have experience with data center SmartNICs, or DPUs, including integration into x86/ARM servers and familiarity with PCIe, SR-IOV, and virtualization concepts.
  • Have familiarity with DPU frameworks and languages such as NVIDIA DOCA/DPL, P4, DPDK, etc.
  • Have an understanding of networking fundamentals, and familiarity with technologies such as congestion control and load balancing in data centers.
  • Have experience with platform validation, PCIe/NVMe and networking qualification, and system‑level stress testing.
  • Have Linux skills and proficiency with scripting languages such as Python and Bash for automation and data analysis.
  • Be comfortable working across HW/FW/SW boundaries, collaborating with teams to debug issues in the data path, control plane, and management stack.
  • Have excellent written and verbal communication skills, including the ability to clearly communicate to both technical and non‑technical audiences.
Benefits
  • Your health
  • Your finances
  • Your family
  • Your time at work
  • Your time pursuing other endeavors
Compensation

Akamai is committed to fair and equitable compensation practices. For U.S. based candidates only – the base salary for this position ranges from $126,100 to $261,900 per year; salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications and location. Compensation for candidates outside the U.S. will vary. The compensation package may also include incentive compensation opportunities in the form of annual bonus or incentives, equity awards and an Employee Stock Purchase Plan (ESPP). Eligibility requirements apply.

Equal Employment Opportunity

Akamai Technologies is an affirmative action, equal opportunity employer that values the strength that diversity brings to the workplace. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of gender, gender identity, sexual orientation, race/ethnicity, protected veteran status, disability, or other protected group status.

#J-18808-Ljbffr

What Akamai Technologies employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom