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Gpu Performance Engineer Jobs in Virginia (NOW HIRING)

VAST Data

Systems Engineer, DoD - FSI

Sterling, VA · On-site

Design secure, high-performance solutions leveraging VAST's scale-out, disaggregated architecture ... Architect AI-ready data platforms supporting GPU clusters, large-scale ingestion, and hybrid or air ...

Quevera LLC

Software Engineer II

Herndon, VA · On-site

$100K - $137K/yr

Build and implement evaluation frameworks for multimodal model performance, including image ... and EC2 GPU instances. * Engineer data pipelines for curating, annotating, and transforming ...

Quevera LLC

Software Engineer II

Herndon, VA · On-site

$100K - $137K/yr

Build and implement evaluation frameworks for multimodal model performance, including image ... and EC2 GPU instances. * Engineer data pipelines for curating, annotating, and transforming ...

GRVTY

Expert ML Software Engineer

Springfield, VA · On-site

Monitoring & Maintenance: Track model performance, detect drift, and retrain with new data ... Experience with GPU orchestration and scheduling on Kubernetes in shared or multi-tenant clusters ...

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VTG

Associate Software Engineer

Manassas, VA · On-site

$75K - $80K/yr

SW performance and architecture updates * Communicate requirements and interface definitions ... Experience with CuPy or Numba for writing GPU kernels in Python * Experience with Python ...

VTG

Associate Software Engineer

Manassas, VA · On-site

$75K - $90K/yr

SW performance and architecture updates * Communicate requirements and interface definitions ... Experience with CuPy or Numba for writing GPU kernels in Python * Experience with Python ...

The Josef Group

AI Infrastructure Engineer

Chantilly, VA · On-site

$200 - $250/hr

Optimize GPU utilization, memory management, quantization, batching, and capacity planning to ... performance and cost. * Develop and maintain CI/CD pipelines, observability, monitoring, and ...

The Josef Group

AI Infrastructure Engineer

Chantilly, VA · On-site

$110K - $144K/yr

Optimize GPU utilization, memory management, quantization, batching, and capacity planning to ... performance and cost. * Develop and maintain CI/CD pipelines, observability, monitoring, and ...

VAST Data

Systems Engineer, DoD - FSI

Sterling, VA · On-site

... • Design secure, high-performance solutions leveraging VAST's scale-out, disaggregated ... GPU clusters, large-scale ingestion, and hybrid or air-gapped deployments. • Lead discovery ...

Adtech

AI/ML Engineer With DevOps

Ashburn, VA · On-site

$54 - $74/hr

Adtech seeks a motivated, career and customer-oriented AI/ML Engineer . This is currently a hybrid ... Experience with GPU-based infrastructure and performance optimization Clearance Requirements:

Cerebras

Staff Kernel Optimzation Engineer

Sterling, VA · On-site

$100 - $150/hr

... GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is ... About The Role As a Kernel Engineer on our team, you will develop high-performance software ...

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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 are popular job titles related to Gpu Performance Engineer jobs in Virginia?

For Gpu Performance Engineer jobs in Virginia, the most frequently searched job titles are:

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

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

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

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

Gpu Performance Engineer jobs near you
Infographic showing various Gpu Performance Engineer job openings in Virginia as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 87% In-person, and 13% Hybrid job distribution.

Systems Engineer, DoD - FSI

VAST Data

Sterling, VA • On-site

Full-time

Re-posted 7 days ago

Job description

Description
VAST Data is looking to hire a Federal Sr Systems Engineer focused on the DoD/Intelligence Community!
VAST Data is redefining the data platform for the AI era. As one of the fastest-growing infrastructure software companies in history, VAST sits at the center of AI, HPC, and data modernization driving national security and defense missions.
With nearly an exabyte deployed across the public sector, VAST delivers secure, scalable, high-performance infrastructure across classified, hybrid, cloud, and edge environments.We are seeking a Senior Systems Engineer - Intelligence Community (DoD/IC) to serve as the technical lead supporting Defense Intelligence accounts. This role partners closely with Sales to architect, position, and validate VAST's Data Platform in secure, high-performance environments.
Key Responsibilities
  • Serve as the primary technical advisor across IC and Defense Intelligence accounts.
  • Translate mission requirements (AI/ML, ISR, cyber, analytics, HPC, edge collection) into scalable VAST architectures.
  • Design secure, high-performance solutions leveraging VAST's scale-out, disaggregated architecture, NVMe-oF/RDMA fabrics, all-flash storage, and multi-protocol access (S3, NFS, SMB, block).
  • Architect AI-ready data platforms supporting GPU clusters, large-scale ingestion, and hybrid or air-gapped deployments.
  • Lead discovery sessions, whiteboarding, POVs, benchmarks, and classified briefings.
  • Partner with defense SIs and cleared cloud providers within complex DoD/IC procurement environments.

Requirements
  • 8+ years in Pre-Sales / Systems Engineering supporting DoD or Intelligence Community customers.
  • Strong foundation in SQL-based systems and database architectures.
  • Familiarity with:
  • OLTP environments (low-latency transactional systems: Oracle, SQL Server, Postgres)
  • OLAP / analytics platforms supporting large-scale BI, statistical analysis, and decision support
  • Experience with unstructured data ecosystems, including Hadoop-based platforms and AI-driven analytics environments.
  • Understanding of stream processing and data transformation technologies (e.g., Kafka, event streaming, enterprise service bus architectures).
  • Knowledge of ETL pipelines and data lifecycle movement across silos and formats.
  • Deep expertise in enterprise storage, scale-out architectures, AI/HPC infrastructure, NVMe, RDMA, and GPU environments.
  • Experience designing solutions for classified and hybrid environments.
  • Ability to engage mission engineers, CTO/CIO leadership, and program offices.
  • Active TS/SCI (Poly preferred) required.

Apply