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Temporary Nvidia Engineering Jobs in Texas (NOW HIRING)

Temporary Nvidia Engineering information

What are Temporary Nvidia Engineering jobs?

Temporary Nvidia Engineering jobs are short-term positions at Nvidia, typically filled to meet project demands, cover employee absences, or provide specialized skills for a limited period. These roles can range from hardware and software engineering to research and development positions. Temporary engineers work on innovative projects involving graphics processing, AI, and other cutting-edge technologies. Although these jobs are not permanent, they provide valuable experience and networking opportunities within a leading tech company like Nvidia.

What are the key skills and qualifications needed to thrive as a Temporary Nvidia Engineer, and why are they important?

To thrive as a Temporary Nvidia Engineer, you need a solid background in computer engineering, programming (C/C++ or Python), and experience with hardware or software development, often supported by a relevant degree. Familiarity with Nvidia’s development tools such as CUDA, GPU architecture, and version control systems is typically required. Strong problem-solving skills, adaptability, and effective communication help you quickly integrate with teams and adapt to project needs. These skills ensure high productivity and quality contributions in a fast-paced, innovation-driven environment where contract roles demand rapid impact.

What is the difference between Temporary Nvidia Engineering vs Temporary Nvidia Data Scientist?

AspectTemporary Nvidia EngineeringTemporary Nvidia Data Scientist
Required CredentialsBachelor's or Master's in Engineering, Computer Science, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentHardware development, software engineering, system testingData analysis, model development, statistical analysis
Employer & Industry UsageUsed in hardware and software product development within NvidiaUsed in AI, machine learning projects, and data-driven solutions at Nvidia

Temporary Nvidia Engineering focuses on hardware and software development, requiring engineering credentials and working in product development environments. In contrast, Temporary Nvidia Data Scientist emphasizes data analysis and modeling skills, working primarily on AI and machine learning projects. Both roles are essential in Nvidia's innovation pipeline but differ in their technical focus and daily tasks.

What types of projects do Temporary Nvidia Engineering roles typically work on, and how do they collaborate with full-time teams?

Temporary Nvidia Engineering roles often focus on short-term, high-priority projects such as software development, hardware validation, or performance optimization. Contractors are usually integrated into existing teams and work closely with full-time engineers, project managers, and cross-functional partners to meet project milestones. While the assignments are time-bound, temporary engineers are expected to contribute actively during team meetings, participate in code reviews, and share updates regularly. This collaborative environment helps ensure project continuity and gives temporary staff valuable exposure to Nvidia’s cutting-edge technologies and workflows.
What are the most commonly searched types of Nvidia Engineering jobs in Texas? The most popular types of Nvidia Engineering jobs in Texas are:
What are popular job titles related to Temporary Nvidia Engineering jobs in Texas? For Temporary Nvidia Engineering jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Temporary Nvidia Engineering jobs in Texas look for? The top searched job categories for Temporary Nvidia Engineering jobs in Texas are:
What cities in Texas are hiring for Temporary Nvidia Engineering jobs? Cities in Texas with the most Temporary Nvidia Engineering job openings:
HPC Software Engineer II

HPC Software Engineer II

University of Texas at Dallas

Richardson, TX • On-site

$85K - $105K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


University Of Texas At Dallas rating

6.0

Company rating: 6.0 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

504th of 555 rated colleges and universities


Job description

Posting Details
Posting Details
Posting Number
S06553P
Position Title
HPC Software Engineer II
Functional Title
High Performance Computing Software Engineer II
Department
High Performance Computing
Salary Range
$85,000 - $105,000 DOQ
Pay Basis
Monthly
Position Status
Regular full-time
Location
Richardson
Position End Date (if temporary)
Posting Open Date
08/08/2025
Posting Close Date
Open Until Filled
Yes
Desired Start Date
09/01/2025
Job Summary
Reporting to the Director High Performance Computing (HPC) Facilitation, this is a mid-level HPC systems software engineer position with a required background in HPC environments. To collaborate with and support our customers, this engineer must have demonstrated a consultative customer service attitudes in prior roles in similar organizations. Primary responsibilities include install and manage software to support researcher; lifecycle management of software including patching and versioning; tailor the installation and management according to researcher needs while leveraging HPC systems capabilities; train users in the use of software through workshops; prepare software documentation; troubleshoot user software issues; and help with planning of software use in HPC environments. The applicant must have broad industry knowledge of hardware and/or software services involved in building and operating HPC environments.
Minimum Education and Experience
High school diploma with eight (8) years recent applicable experience.
Associate Degree with six (6) years recent applicable experience.
Bachelor's Degree with four (4) years recent applicable experience.
Preferred Education and Experience
Preferred Qualifications:
  • Master's degree in Computer Science or equivalent with two years of experience in corresponding research services, support efforts, products and technologies.
  • Current knowledge of HPC best practice and systems deployment and maintenance.
  • Troubleshooting methodology and awareness of industry standards.
  • Excellent interpersonal, written, and verbal communication skills are a must.
  • Good technical documentation, architecture diagramming, and organizational skills.
  • Ability to manage support tickets and prioritize considering varied scope, scale, and technical requirements.
  • Familiarity with data center operations fundamentals in networking and power.
  • Experienced in Linux operating system for installing and managing software.
  • Ability to package scientific software into RPMs, containers (and integrate with Lmod-so users can `module load `).
  • Familiarity with Apptainer/Singularity HPC/Docker/Kuberneties.

Knowledge, Skills and Ability:
  • Familiarity with at least two high performance cluster operating systems such as OpenHPC, ROCKS, Bright/Nvidia Cluster Manager, Open OnDemand.
  • Familiarity with large scale high performance parallel file storage systems such as WEKA, VAST, GPFS, BGFS, CEPH.
  • Experience with installing and supporting: Open source and commercial research related software, Python, R, Matlab, Mathworks, Julia, Ansys, Intel, nVidia CUDA and GCC compilers.
  • Experience with all related dev ops tools such as GitHub, GitLab, Ansible, package management tools for rpm and or deb package building.
  • Experience with SLURM job scheduler.

Other Qualifications
To the extent this position requires the holder to research, work on, or have access to critical infrastructure as defined in Section 117.001(2) of the Texas Business and Commerce Code, the ability to maintain the security or integrity of the critical infrastructure is a minimum qualification to be hired and to continue to be employed in the position.
Essential Duties and Responsibilities
  • Be a software support engineer for University HPC cluster or services with support from core HPC team for complex scenarios.
  • Responds to user tickets from faculty and students. Level 2 support experience at scale of 1 to 3 with 3 being a senior specialist.
  • Act as a role model in demonstrating integrity and ethical behavior in working with confidential and university information.
  • Assists in development and implementation of internal policies, rules, and operation procedures for HPC and Cyber infrastructure to guarantee various assurance models such as NIST 800-53 and NIST 800-171 under which assured research is conducted.
  • Performs annual updates, expert level software coding (prefer Python, Linux Shell, etc.) in at least two or more languages.
  • Perform installation, configuration, updating, performance monitoring and troubleshooting of software on HPC systems, or project-level software support.
  • Assist users with optimizing their software use for the underlying system capabilities.
  • Assist customers with porting and optimizing code including selection and usage of appropriate development tools to match application requirements.
  • Ability to package scientific software into RPMs and integrate with Lmod-so users can `module load `.
  • Able to compile, test and install many related open-source scientific software packages as requested by research faculty, staff, and students.

Physical Demands and Working Conditions
  • On-call availability for quickly responding to and resolving system software emergencies, both during regular and emergency off-hours.
  • Sitting for extended periods of time. Dexterity of hands and fingers to operate a computer keyboard, mouse, power tools, and to handle other computer components. Lifting and transporting of moderately heavy objects, such as servers, switches, computers, and peripherals.

Physical Activities
Working Conditions
Additional Information
Remote Notice: After the probationary period, this role may be eligible for a hybrid (partly remote/partly in office) work schedule, subject to business need and manager approval. May be required to use personal computer and other standard office equipment. Must be located within the DFW Area and have the ability to be on campus with 24 hours of notice. A UT Dallas Remote Work Agreement will be required within 14 days after approval.
What We Can Offer
UT Dallas is an Equal Opportunity Employer with an employee-friendly and supportive work environment. Our comprehensive compensation and benefits package that is effective as of your hire date includes:
  • Competitive Salary
  • Tuition Benefits
  • Internal Training
  • BCBS PPO Medical insurance - 100% paid for full-time employees
  • PPO and DHMO Dental Insurance Plan - PPO plans include ortho benefits
  • Vision Insurance
  • Long and short-term disability
  • TRS Retirement Plan - defined benefit plan offering lifetime annuity upon retirement
  • Voluntary Retirement Plan Options - additional savings opportunities with Tax-Sheltered Annuity Plans and Deferred Compensation Plans
  • Dental/Vision/AD&D
  • Paid time off
  • Paid Holidays
  • Paid Winter Break
  • Fertility Benefits
  • Remote Work Options - approved by department

All UT Dallas employees have access to various professional development opportunities, including a membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program.
Visit https://hr.utdallas.edu/employees/benefits/ for more information.
If you are looking for a rewarding career opportunity with great benefits? Look no further! Join our team!
Special Instructions Summary
Important Message
1) All employees serve as a representative of the University and are expected to display respect, civility, professional courtesy, consideration of others and discretion in all interactions with members of the UT Dallas community and the general public.
2) The University of Texas at Dallas is committed to providing an educational, living, and working environment that is welcoming, respectful, and inclusive of all members of the university community. UT Dallas does not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, national origin, disability, genetic information, or veteran status in its services, programs, activities, employment, and education, including in admission and enrollment. The University is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities. To request reasonable accommodation in the employment application and interview process, contact the ADA Coordinator. For inquiries regarding nondiscrimination policies, contact the Title IX Coordinator.

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