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Contract Gpu Jobs (NOW HIRING)

GPU Driver & Memory Management Architect Description - Job Summary This role is responsible for ... Define OS-driver contracts (Windows/Linux) * Diagnose and resolve memory-related performance ...

GPU Driver & Memory Management Architect Description - Job Summary This role is responsible for ... Define OS-driver contracts (Windows/Linux) * Diagnose and resolve memory-related performance ...

$70 - $100/hr

You will audit GPU kernel tasks used to train and assess AI models, ensuring they meet high ... Contribute your specialized expertise through a remote contract arrangement. * High-impact ...

AMAX is seeking a detail-oriented Contract Administrator to manage the full lifecycle of commercial ... About AMAX Established in 1979, AMAX is a globally recognized leader in GPU-accelerated IT infrastr ...

AMAX is seeking a detail-oriented Contract Administrator to manage the full lifecycle of commercial ... About AMAX Established in 1979, AMAX is a globally recognized leader in GPU-accelerated IT infrastr ...

AMAX is seeking a detail-oriented Contract Administrator to manage the full lifecycle of commercial ... About AMAX Established in 1979, AMAX is a globally recognized leader in GPU-accelerated IT infrastr ...

Showing results 41-60

Contract Gpu information

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$41K

$106K

$139K

How much do contract gpu jobs pay per year?

As of Sep 11, 2026, the average yearly pay for contract gpu in the United States is $106,034.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $119,000.00 per year, depending on experience, location, and employer.

What is a contract GPU?

Contract GPU jobs are temporary or project-based positions that require expertise in graphics processing units (GPUs). These jobs often involve developing, optimizing, or deploying GPU-accelerated applications, such as in machine learning, scientific computing, game development, or rendering. Contract workers may be hired by companies for specific tasks that need specialized knowledge in GPU programming using tools like CUDA or OpenCL. These roles can be remote or on-site and typically last for the duration of a particular project or set timeframe.

What are the key skills and qualifications needed to thrive as a contract GPU engineer?

To thrive as a Contract GPU Engineer, you need a strong background in computer science, GPU architecture, and parallel programming, often supported by a degree in a relevant field and prior experience with graphics hardware. Familiarity with tools and frameworks such as CUDA, OpenCL, DirectX, Vulkan, and performance profiling utilities is typically required. Excellent problem-solving, time management, and communication skills are crucial for collaborating with diverse teams and meeting project deadlines. These competencies ensure efficient development, optimization, and deployment of GPU-accelerated solutions in dynamic contract environments.

What are some common challenges faced by professionals working in contract GPU roles, and how can they address them?

Professionals in contract GPU roles often encounter challenges such as rapidly evolving hardware and software standards, tight project timelines, and the need to quickly adapt to different team environments. Staying updated with the latest GPU technologies and frameworks is essential, as is developing strong communication skills to collaborate effectively with full-time team members and stakeholders. To address these challenges, leveraging online resources, participating in relevant forums, and proactively seeking feedback can help contract GPU specialists deliver high-quality results and integrate smoothly into diverse project teams.

What is the difference between Contract Gpu vs Contract Data Scientist?

AspectContract GpuContract Data Scientist
Required CredentialsGPU certifications, technical skills in GPU programmingStatistics, programming, data analysis certifications
Work EnvironmentTech companies, research labs, AI firmsTech firms, finance, healthcare, consulting
Employer & Industry UsageAI development, machine learning projectsData analysis, predictive modeling, business insights

Contract Gpu roles focus on GPU hardware and software expertise for AI and machine learning projects, while Contract Data Scientist roles emphasize data analysis, statistical modeling, and insights. Both are in tech-driven industries but serve different technical functions.

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What are the most commonly searched types of Gpu jobs?

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What states have the most Contract Gpu jobs?

States with the most job openings for Contract Gpu jobs include:

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What other helpful pages are available for Contract Gpu?

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Infographic showing various Contract Gpu job openings in the United States as of September 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 100% In-person job distribution, with an average salary of $106,034 per year, or $51 per hour.

GPU Driver & Memory Management Architect

Spring, TX • On-site

Hewlett Packard Enterprise
IT Services • 10K+ employees

$147K - $230K/yr

Other

Medical, Dental, Vision, Life, PTO

Posted 10 days ago


Hewlett Packard Enterprise rating

8.7

Company rating: 8.7 out of 10

Based on 27 frontline employees who took The Breakroom Quiz


Job description

GPU Driver & Memory Management ArchitectSkip to main contentWe use cookies (or similar technologies) to personalize content and ads, to provide social media features and to analyse our traffic. By clicking "Accept ", you agree to this and the sharing of information (What data we collect) about your use of our site with our affiliates & partners. Please find out more about Use of cookies.#GPU Driver & Memory Management Architect page is loaded## GPU Driver & Memory Management ArchitectApplylocations: Spring, Texas, United States of America: Palo Alto, California, United States of Americatime type: Full timeposted on: Posted Todayjob requisition id: 3163837GPU Driver & Memory Management Architect**Description -****Job Summary**• This role is responsible for exploring & developing GPU (and NPU-adjacent) driver architecture with deep ownership of memory management, enabling efficient shared memory utilization across CPU/GPU/NPU. This role ensures architectures and methodologies are scalable across different PCs, identifying and evaluating emerging technologies and partnerships, and aligning these with technology roadmaps and business value. The role will deliver improved GPU/NPU utilization for AI workloads. The role offers tangible feedback to enhance product quality, while overseeing tracking and reporting of product-related performance metrics. The role leverages functional expertise to shape strategy and policy, facilitating the realization of operational and strategic plans. **Responsibilities*** Architect driver-level memory management (DVMT, shared memory models, WDDM)* Enable dynamic memory allocation across GPU, CPU, and NPU* Optimize iGPU performance for AI + graphics hybrid workloads* Define OS-driver contracts (Windows/Linux)* Diagnose and resolve memory-related performance bottlenecks* Partner with IHVs (Intel/AMD/Qualcomm) on driver capabilities and requirements* Develops organization-wide architectures and methodologies for electrical hardware design and development across multiple platforms and organizations.* Leads part qualification processes through implementation of product quality plans, equipment inspections, factory witness testing, and manufacturing process qualifications.* Identifies and evaluates new technologies, innovations, and outsourced development partner relationships for alignment with technology roadmap and business value.* Drives integration of new technologies into projects and activities in the electrical hardware design organization.* Reviews and evaluates designs and project activities for compliance with technology and development guidelines and standards; provides tangible feedback to improve product quality.* Leads overall tracking and reporting of various electrical/hardware product related performance metrics and reports against the same.* Exercises independent judgment in resolving business issues and establishing functional policies for guidance.* Provides domain-specific expertise and overall electrical/electronic hardware and platform leadership and perspective to cross-organization projects, programs, and activities.* Leverages functional expertise in guiding strategy and setting functional policy and direction, while helping the team in realization of these operational and strategic plans.* Provides guidance and mentoring to less- experienced staff members to set an example of electrical hardware design and development, innovation, and excellence.****Education & Experience** Recommended** • Four-year or Graduate Degree in Electrical Engineering, or any other related discipline or commensurate work experience or demonstrated competence. • Typically has 10+ years of work experience, preferably in electrical design and tools, software packages, architecture of electronic hardware, or a related field. **Preferred Certifications** NA **Knowledge & Skills** • Memory/GPU design • Computer Engineering • Computer Science • Debugging • Electrical Engineering • Electronic Engineering • Electronics • Field-Programmable Gate Array (FPGA) • Hardware Architecture • Hardware Design • MATLAB • Mechanical Engineering • New Product Development • Oscilloscope • Physics • Printed Circuit Board • Schematic Capture • Simulations • Systems Design **Cross-Org Skills** • Effective Communication • Results Orientation • Learning Agility • Digital Fluency • Customer Centricity **Impact & Scope** • Impacts large functions and leads large, cross-division functional teams or projects. **Complexity** • Provides highly innovative solutions to complex problems within established policy. **Disclaimer** • This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.Benefits:HP offers a comprehensive benefits package for this position, including: \* Health insurance \* Dental insurance \* Vision insurance \* Long term/short term disability insurance \* Employee assistance program \* Flexible spending account \* Life insurance \* Generous time off policies, including; \* 4-12 weeks fully paid parental leave based on tenure \* 11 paid holidays \* Additional flexible paid vacation and sick leave (US benefits overview [https://hpbenefits.ce.alight.com/])The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.**Job -**Engineering**Schedule -**Full time**Shift -**No shift premium (United States of America)**Travel -****Relocation -****Equal Opportunity Employer (EEO) -**HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal" #J-18808-Ljbffr

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