Full-Time
Systems Engineer
Exxact Corporation
51-200 employees
GPU-based HPC hardware design and integration
No salary listed
Fremont, CA, USA
In Person
 Hardware Engineering (1) |
|---|
- Must have at least 3 years work experience with relevant hardware & software listed in this ad
- Expert knowledge integrating and designing systems utilizing server to enterprise level hardware
- Expert knowledge in Linux, including Linux clustering
- Expert knowledge of current Windows operating systems
- Knowledgable about networking at the physical level and configuration level (gbE, 10GB, InfiniBand, Etc.)
- Hardware: Design of systems and clusters (including computational and storage clusters) from component level, including network fabric, switching, power infrastructure, cabling, etc.
- Hardware: Assembly of systems (from Workstation to blade systems) including clusters when necessary
- Hardware: Inspect and perform quality control on outgoing finished-goods
- Hardware: Help provide front-line technical support for hardware via phone & email
- Software: Configuration of system OS software, Linux & Windows clustering of assembled cluster systems
- Software: Maintenance of internal equipment (internal clusters, Workstation OS Updates, Domain Controller, Etc)
- Software: Help provide front-line technical support for software via phone & email
- 5+ years work experience with relevant hardware & software listed is a plus
- Knowledge of GPGPU computing is a HUGE plus
Exxact Corporation designs, builds, and integrates high-performance computing systems for demanding workloads. It provides GPU-powered workstations, servers, and HPC clusters that support AI, deep learning, scientific computing, and data-intensive tasks. The products work by combining powerful NVIDIA GPUs with optimized hardware and software stacks to accelerate compute-heavy applications, such as model training, simulations, and data analysis. Exxact differentiates itself through end-to-end capabilities, offering both off-the-shelf and custom-built hardware, along with system integration and IT distribution services for research institutions, enterprises, and government agencies. By partnering with technology leaders like NVIDIA, Exxact stays aligned with the latest GPU technologies. The company’s goal is to help customers scale their computing infrastructure to meet growing computational needs and advance research and industry workloads.
Company Size
51-200
Company Stage
N/A
Total Funding
N/A
Headquarters
Fremont, California
Founded
1992
Simplify's Take
What believers are saying
- Carahsoft partnership expands sales to U.S. government agencies.
- NVIDIA partnerships ensure latest GPUs for AI and HPC workloads.
- Benchmark-proven systems accelerate CNN training on ImageNet datasets.
What critics are saying
- NVIDIA DGX systems bypass Exxact, eroding margins in 12 months.
- Super Micro expansion captures enterprise customers within 6 months.
- Cloud GPU services shift clients from hardware purchases immediately.
What makes Exxact Corporation unique
- ExxactAccess+ program trials NVIDIA H200 NVL GPUs for five days remotely.
- VDURA partnership delivers flash-first storage matching GPU compute speeds.
- Custom GPU workstations and clusters serve national labs since 1992.
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Benefits
Health Insurance
Dental Insurance
Vision Insurance
401(k) Retirement Plan
401(k) Company Match
Company News
Exxact partners with VDURA to deliver faster, more scalable storage for AI and HPC users. FREMONT, Calif., Dec. 10, 2025 - Exxact Corporation has announced a new partnership with VDURA, a leader in data infrastructure for AI and HPC, to deliver storage that finally keeps pace with modern GPU-accelerated compute. For engineers, researchers, and AI teams, slow or inconsistent storage is often the hidden cause of stalled progress and underutilized GPUs. Exxact and VDURA are working together to eliminate those bottlenecks by delivering a seamless user experience where data flows continuously, workloads stay fully accelerated, and time-to-results are dramatically reduced. With a flash-first architecture and parallel data handling, the solution ensures that simulations, training jobs, and data pipelines run without interruption. Teams get more done in less time, without re-running jobs, waiting on I/O, or overprovisioning compute to compensate for slow storage. As data grows, performance remains consistent. Organizations can expand to multi-petabyte environments without redesigning infrastructure or experiencing slowdowns, making it an ideal long-term platform for evolving AI and HPC requirements. From air-gapped research labs to hybrid enterprise environments, the solution offers deployment flexibility while maintaining performance, resilience, and data integrity. VDURA brings a software-defined, shared-nothing storage platform built on decades of parallel filesystem expertise. Advanced metadata handling, erasure coding, and automated tiering ensure high throughput and reliability at scale. Integrated with Exxact's GPU-optimized systems, customers gain an end-to-end infrastructure where compute and storage operate in perfect sync. AI/ML teams, engineering simulation groups, life sciences researchers, manufacturers, and any organization or government agency managing large or complex data pipelines will see immediate value. "Customers want systems that simply work: fast, reliable, and scalable," said Jason Chen, Vice President at Exxact. "Our partnership with VDURA brings the storage performance our GPU platforms demand, giving users a smoother, more productive experience across AI and HPC workloads." "AI and HPC users are pushing the limits of what's possible, and storage can no longer be the bottleneck," said Samantha Clarke, VP of Channel and Partnerships at VDURA. "Our focus is on coupling enterprise-class storage resilience with GPU and AI performance capabilities, ensuring organizations can meet the increasingly demanding requirements of today's data-intensive environments."." About Exxact Corporation Exxact designs and delivers high-performance, GPU-accelerated workstations, servers, and clusters tailored for engineering simulation, AI, scientific calculation, and enterprise applications. Solutions are customizable, optimized, and built for reliability and scale. About VDURA VDURA builds the world's most powerful data platform for AI and high-performance computing, blending flash-first speed with hyperscale capacity and 12-nines durability, all delivered with breakthrough simplicity. Visit vdura.com for more information. BOSTON, Dec. 10, 2025 - On Friday, December 12, the Massachusetts Technology Collaborative (MassTech) and Massachusetts... WASHINGTON, Dec. 10, 2025 - The U.S. Department of Energy (DOE) today announced over $320 million... SAN JOSE, Calif., Dec. 10, 2025 - Super Micro Computer, Inc. has announced the expansion... LAGUNA HILLS, Calif., Dec. 10, 2025 - BrainChip Holdings Ltd. has secured a capital raise of... STOCKHOLM, Dec. 10, 2025 - Einride AB, a technology company accelerating the shift to cost-efficient... LONDON and AUSTIN, Texas, Dec. 10, 2025 - ORCA Computing, a leading quantum computing company, today...
Exxact debuts access+ program to let teams trial high-end NVIDIA GPUs before buying. FREMONT, Calif., Nov. 6, 2025 - Exxact Corporation, a leading provider of high-performance computing solutions, announced today the launch of its new ExxactAccess+ GPU test drive program, empowering organizations to evaluate real-world AI, engineering, and scientific workloads on the world's most advanced GPUs. Researchers, engineers, and enterprises can now test drive up to eight NVIDIA H200 NVL or NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs on a dedicated Exxact TensorEX 8x GPU system. ExxactAccess+ offers secure, five-day remote access to a cutting-edge GPU server, pre-configured with popular AI/ML frameworks and ready for Docker deployment. The program enables users to validate performance, run custom workloads, and explore multi-GPU acceleration before investing in on-prem hardware. Each test drive fee is fully credited towards a future Exxact system purchase. Supporting up to 1.5TB DDR5 memory, dual AMD EPYC 9115 CPUs, and high-speed NVMe storage, participants can experience the potential of GPU computing for AI training, inference, generative workflows, engineering simulation, and scientific research. The offering includes both Windows Server and Linux environments, with seamless connectivity via VPN and SSH. "The ExxactAccess+ test drive lets innovators take control of their acceleration journey by accessing next-gen NVIDIA H200 NVL and NVIDIA RTX PRO Blackwell GPUs before making procurement decisions," said Jason Chen, Vice President at Exxact. "This program delivers the transparency and assurance the market is demanding, especially for customers seeking to own their data and future-proof their infrastructure." Exxact's GPU test drive is ideal for teams evaluating performance for local LLMs and AI agents, engineering design workflows, or scientific modeling. For full details or to reserve a session, visit the ExxactAccess+ test drive landing page here. About Exxact Corporation Exxact builds advanced computing platforms for AI, life sciences, engineering, and scientific research. From GPU workstations to multi-node servers, Exxact delivers tailored solutions for accelerated discovery and data-driven innovation. RENO, Nev., Nov. 13, 2025 - As the global supercomputing community convenes in St. Louis for... DRESDEN, Germany, Nov. 13, 2025 - Semiconductor pioneer FMC has raised €100 million to set... Join LLNL at the 2025 Supercomputing Conference on November 16 - 21 Nov. 13, 2025 - Lawrence... Nov. 13, 2025 - The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) celebrated its... SAN JOSE, Calif., Nov. 13, 2025 - Pliops, a leader in data acceleration technology, today announced... BEAVERTON, Ore., Nov. 13, 2023 - The OpenMP Architecture Review Board (ARB) has released Technical...
Computing solutions integrator Exxact has partnered with Carahsoft Technology to make its computing and data center solutions available to the public sector.
Its Deep Learning Server was fitted with eight A4500 GPUs and Exxact Corporation ran the standard “tf_cnn_benchmarks.py” benchmark script found in the official TensorFlow github.