Autonomous Vehicle Operator – Autonomous Vehicle Test Engineer

Location: Remote, United States
Employment Type: Contract / Temporary
Work Location: US, CA, Remote

Sustainable Talent is partnering with NVIDIA, a global leader that has been transforming computer graphics, PC gaming, and accelerated computing for over 25 years. We are looking for an Autonomous Vehicle Operator – Autonomous Vehicle Test Engineer to support our client’s autonomous vehicle testing team. This role is remote and will focus on test creation, quality analysis, and issue investigation for autonomous vehicle software systems. This is a W-2 full-time REMOTE contract role. We offer competitive pay $70/hr-$97/hr based on factors like experience, education, location, etc. and provide full benefits, PTO, and amazing company culture!

We are seeking a highly technical and detail-oriented professional who is passionate about autonomous vehicle technology and excited to work at the intersection of software, hardware, and vehicle testing. In this role, you will analyze issues reported from vehicle testing, create and manage test suites, support testing infrastructure, and help improve the quality and accuracy of autonomous vehicle software.

What You’ll Be Doing

As a member of the Autonomous Vehicle Test team, you will support end-to-end problem analysis for issues identified during daily vehicle testing. You will work closely with software and hardware engineering teams across multiple disciplines to help deliver a high-quality autonomous driving product.

Responsibilities include:

• Analyze issues reported from routine autonomous vehicle testing.
• Execute problem analysis processes, including issue triage, root cause analysis, issue categorization, reporting, and summary documentation.
• Create test suites, manage test configurations, and support infrastructure for running tests.
• Analyze test accuracy and investigate root causes of errors that lead to inaccurate test results.
• Communicate with development teams to understand functional design and stay current on evolving technologies.
• Develop documentation and tools to support issue analysis.
• Collect test data from routine in-car testing and provide feedback on software performance after testing and analysis.
• Collaborate with automotive software testing, software engineering, and hardware engineering teams to improve product quality.

What We Need to See

• Technical education or background in Electrical Engineering, Automotive Engineering, Computer Science, Software Engineering, or a related field.
• Experience and proficiency with Python.
• Experience in test engineering within a robotics or automotive environment.
• Strong analytical and problem-solving skills.
• Ability to perform issue triage, root cause analysis, and technical documentation.
• Self-motivated mindset with a willingness to learn new technologies and adapt in a fast-moving environment.
• Strong communication skills and the ability to collaborate with cross-functional engineering teams.
• Passion for autonomous vehicle technology and software quality.

Ways to Stand Out from the Crowd

• Experience in software testing or software development for autonomous vehicles or autonomous driving systems.
• Experience creating test suites or managing test infrastructure.
• Familiarity with vehicle data analysis, robotics testing, or automotive software validation.
• Ability to work across both software and hardware teams in a technical testing environment.

About Sustainable Talent

Sustainable Talent is a certified woman-owned company specializing in recruitment, consulting, and workforce solutions. We partner with innovative organizations to connect exceptional talent with meaningful opportunities across technology, engineering, operations, and professional services.

Equal Opportunity Statement

Sustainable Talent is proud to be an equal opportunity employer. We are committed to building a diverse and inclusive workforce and welcome applicants from all backgrounds, experiences, and perspectives.

Location: Santa Clara, CA (Onsite)

Role Type:  contract (W2)

Sustainable Talent is partnering with NVIDIA, a global leader in accelerated computing and graphics, to hire a Windows Validation Engineer to support hands-on system and GPU validation efforts.

This role is focused on Windows PC system-level testing and troubleshooting, with an emphasis on GPU validation, system setup, and debugging. This is not an application or web QA role - it requires hands-on experience working at the OS, driver, and hardware level. We offer competitive compensation, $50 - $80/hr based on experience with full benefits.

What You’ll Be Doing

• Set up and configure Windows-based PC systems for validation (OS install, driver installation, firmware updates)
• Perform system-level and GPU validation on Windows platforms (primarily GeForce / consumer GPU environments)
• Execute validation across different system configurations, drivers, and builds
• Troubleshoot system issues and determine root cause (setup, driver, OS, or hardware)
• Analyze system crashes (e.g., BSOD), logs, and memory dumps to identify issues
• Use debugging tools such as WinDbg to investigate system-level problems
• Work closely with engineering teams to reproduce issues and support resolution
• Perform hands-on hardware work, including assembling systems, swapping components, and replacing GPUs/boards
• Ensure systems are properly configured and stable before and during validation

What We’re Looking For

• Hands-on experience with Windows PC system-level testing and validation
• Experience working with GPUs in a Windows environment (GeForce or similar preferred)
• Strong troubleshooting skills across OS, drivers, and hardware configurations
• Experience installing Windows OS from scratch, including drivers and firmware updates
• Hands-on experience working with PC hardware (system builds, GPU replacement, board swaps)
• Experience using WinDbg or similar tools for debugging system-level issues (crash analysis, memory dumps, etc.)
• Ability to isolate issues and determine whether they are related to setup, driver, OS, or hardware
• Strong communication skills and ability to work cross-functionally with engineering teams

Nice to Have

• Experience with Python or scripting to support testing or debugging
• Experience with structured validation or lab environments
• Prior experience working with GPU validation or graphics drivers

Sustainable Talent is a M/F+, disabled, and veteran equal employment opportunity and affirmative action employer.

Sustainable Talent is partnering with Nvidia a global leader who's been transforming computer graphics, PC gaming, and accelerated computing for over 25 years. We are looking for a Windows Driver Validation Engineer to support our client's team onsite in Santa Clara, CA. 

This is a full-time (W-2) 6 month contract role. We offer competitive pay $50/hr - $80/hr based on factors like experience, education, location, etc. and provide full benefits, PTO, and amazing company culture!

In this role you will be responsible for test and analysis of issues across internal and OEM Windows platform configurations. The role ensures CI/CD quality, Windows driver compliance, OEM readiness (HLK/WHQL where applicable), and release readiness across system-level builds.

Key Responsibilities:

• Device Setup & Configuration: Flash Windows OS builds onto boards and OEM devices; install and validate SoC, GPU, USB, display, and platform drivers; configure Windows debugging tools (e.g., WinDbg/KDNET); enable and collect crash dumps and system logs.

• Perform Windows system-level and driver-level validation across functional, stress, power management (Modern Standby, S3/S4), and performance scenarios.

• Investigate Windows system crashes (e.g., BSOD), analyze memory dumps and Windows event logs, and support root cause analysis in collaboration with driver and platform teams.

• Develop and execute automated and manual test plans across internal and OEM Windows configurations, validating multiple driver and software build versions.

• Conduct exploratory testing to identify subsystem-level issues (USB, display, PCIe, power management, etc.).

• Triage internal and OEM defects; reproduce failures, collect logs and crash dumps, document findings, and track issue resolution through release readiness.

• Work closely with BSP, driver, OEM QA, and automation teams to ensure CI/CD build stability, validation coverage, and certification readiness (HLK/WHQL where applicable).

• Prepare detailed test execution reports and communicate validation results to internal and external stakeholders.

Skillset:

• 5–8 years of Windows system-level or driver-level testing experience (application-level QA experience alone is not sufficient).

• Hands-on experience with Windows platform validation, driver installation, and driver debugging.

• Proficiency using Windows debugging tools such as WinDbg or KDNET; experience analyzing crash dumps, memory dumps, and Windows event logs.

• Strong understanding of Windows power management, including Modern Standby, ACPI, and S3/S4 sleep states.

• Experience configuring UEFI/BIOS settings and flashing Windows OS builds onto hardware platforms.

• Demonstrated experience in defect triage, log analysis, reproduction of issues, and root cause support.

• Experience working with CI/CD pipelines supporting Windows builds and regression validation.

• Familiarity with Windows Driver Kit (WDK), HLK/WHQL certification processes, or OEM device validation is strongly preferred.

• Experience validating USB4, DisplayPort (DP) tunneling, PCIe, or platform drivers is a plus.

Sustainable Talent is a M/F+, disabled, and veteran equal employment opportunity and affirmative action employer.

Sustainable Talent is partnering with Nvidia a global leader who's been transforming computer graphics, PC gaming, and accelerated computing for over 25 years. We are looking for a Vehicle Integration Engineer to support our client's AV Operations Team in Santa Clara, CA.  This is a W-2 full-time, short term contract role. We offer competitive pay $60-$67/hr based on factors like experience, education, location, etc. and provide full benefits, PTO, and amazing company culture!

In this role, you will be working with the automotive technicians and senior engineers responsible for developing and maintaining our autonomous driving platform (incl. sensors like cameras, LiDAR, radar, USS, GPS and others). We focus on reported vehicle platform issues, and you will triage those in the vehicle. You will help build, test and maintain the system and make it work flawlessly and safely on our driving platform. You are encouraged to have strong communication, interpersonal, and analytical skills. Previous hands-on experience installing, fixing, and updating (autonomous) vehicle hardware as well as in-depth experience fixing automotive bus systems (e.g. CAN, Ethernet) is a requirement. Experience with autonomous vehicle sensor suite hardware and automotive mechanical and electrical systems is highly valued! Must have the flexibility to work night and/or weekend shifts as needed.

What you'll be doing:

Debug/maintain and integrate systems into vehicle platforms

Triage reported in-vehicle issues (that could be related to sensors, vehicle ECUs, vehicle communication, data logging equipment, software and more)

Solve vehicle communication issues, design solutions and raise incidents where necessary

Be hands-on (incl. disassembling) in vehicles to determine root causes of reported issues

Be the “first responder” for vehicle issues

Raise suggestions for improvements to avoid reoccurring issues with the platform

What we need to see:

Hands-on experience in diagnosing automotive bus systems and working on vehicles (disassembling and assembling parts of the vehicle) and the ability to demonstrate high proficiency in these areas

Bachelor in Engineering field (Automotive, electric, IT, or similar) or equivalent experience

In-depth experience with ECU communication/protocols/technologies (e.g. CAN, FlexRay, Ethernet)

Experience with diverse automotive sensors incl. radars, cameras, ultrasonic and LiDAR

Must possess a good technical problem solving ability and attitude

Extended computer (ECU flashing, IP/Ethernet, Linux command line experience) and excellent communication skills required

Flexibility to work weekend shifts and/or evening shifts

Ways to stand out from the crowd:

Computer-savvy, ideally experience with scripting languages and Linux OS

Excellence in trouble shooting and problem solving of Automotive Electronics installations

Experience with state-of-the-art automotive bus analyzing tools (e.g. Vector CANoe/CANalyzer)

Worked with latest sensor technology for autonomous driving platforms incl. sensor calibrations

Sustainable Talent is a M/F+, disabled, and veteran equal employment opportunity and affirmative action employer.

Sustainable Talent is partnering with Nvidia a global leader who's been transforming computer graphics, PC gaming, and accelerated computing for over 25 years.  We are looking for a Test Engineer to support our client's Automotive Vehicles team. This is a W-2 full-time REMOTE contract role. We offer competitive pay $60/hr - $85/hr based on factors like experience, education, location, etc. and provide full benefits, PTO, and amazing company culture!

This role focuses on system-level testing, simulation triage, and technical debugging within a complex autonomous vehicle environment. You will participate in a focused effort to scale and expand the testing frameworks that will help productize ground-breaking solutions redefine the world of transportation and the growing field of self-driving cars. You will work with hardworking and dedicated multi-functional engineering teams across various vehicle subsystems to integrate their work into our AV SW platform, while achieving or exceeding all meaningful NVIDIA and automotive standards & guidelines.

What You’ll Be Doing

• Investigate and triage failures in simulation and vehicle system testing environments
• Perform system-level QA and validation testing across complex software and hardware systems
• Debug issues using logs, telemetry, and system data to identify root causes of failures
• Analyze system behavior and performance to determine whether outcomes meet expected validation criteria
• Build small automation tools or Python scripts to improve testing workflows and efficiency
• Contribute to the development and maintenance of testing frameworks, dashboards, and internal tooling
• Identify testing coverage gaps and help improve overall test infrastructure
• Collaborate with engineering teams to troubleshoot issues and drive root cause resolution
• Document findings, test results, and issue tracking through Jira or similar systems

What We Need to See

• 3+ years of experience in systems testing, QA, or validation within complex software AV environments
• Hands-on experience with Python scripting or automation to support testing or debugging workflows
• Experience debugging system behavior using logs, telemetry, or similar data sources
• Familiarity with test frameworks, simulation environments, or system-level testing tools
• Strong problem-solving and root cause analysis skills
• Experience using issue tracking tools such as Jira to document and manage testing work

Ways to Stand Out

• Experience in autonomous vehicles, robotics, or simulation platforms
• Experience improving workflows through automation or internal tooling
• Exposure to sensor systems (LiDAR, cameras, radar)
• Experience with C++ or systems-level debugging

Sustainable Talent is a M/F+, disabled, and veteran equal employment opportunity and affirmative action employer.

Sustainable Talent is partnering with Nvidia a global leader who's been transforming computer graphics, PC gaming, and accelerated computing for over 25 years. We are looking for a Machine Learning Engineer- AI Safety & Security to support our client's team based out of in Santa Clara, CA with remote/ hybrid work options. 

This is a full-time (W-2) contract role. We offer competitive pay $90/hr - $130/hr based on factors like experience, education, location, etc. and provide full benefits, PTO, and amazing company culture!

As a Machine Learning Engineer, you'll work alongside NVIDIA’s research and engineering teams, focused on AI Safety for LLMs, including multi-lingual, multi-modal, and reasoning models.  We value expertise in data science paired with a robust data engineering foundation.   This role is directed at assessing, and improving the safety and inclusivity of our LLM models in a scalable fashion.  We seek someone proficient in programming and scripting for comprehensive data manipulation, analysis, and model fine-tuning.  We believe in proactive problem-solving, minimal supervision, and being exceptional teammates who collaborate, think, and learn as one unit. Let's make a difference together!

What you’ll be doing:

• Develop datasets and moderator models for evaluating LLM models and end-to-end systems for Content Safety, ML Fairness. These LLM models can be txt-to-txt or multimodal-to-txt.
• Develop datasets for training LLM models with SFT and RL techniques, for Content Safety, ML Fairness, Security and more.
• Research and implement cutting-edge techniques for bias detection and mitigation in LLMs and systems.
• Define and track key metrics for responsible LLM behavior and usage.
• Follow the best practices of automation, monitoring, scale, safety.
• Contribute to our repositories and develop safety tools to help ML teams be more effective.
• Data pre-processing and analysis: Collaborate with data scientists and data engineers to collect, clean, pre-process, and transform large and wide datasets.
• Conduct exploratory data analysis (EDA) to uncover insights and identify patterns that boost the model performance.
• Collaborate with multidisciplinary teams: Collaborate with product engineers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.

What we need to see:

• Bachelor’s or Master’s Degree in Computer Science or related field or equivalent experience.
• 2+ years of work experience as a Machine Learning Engineer or Deep Learning Scientist or a similar role, with a consistent record of successfully delivering ML solutions.
• Strong programming skills in languages such as Python. Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.
• Proficiency in data manipulation, analysis, and visualization using tools like NumPy and pandas.
• Deep understanding of machine learning algorithms, statistical models, and data structures.
• Familiarity with software development practices and version control systems (e.g., Git).
• Good at problem solving and analytical ability.
• Excellent collaboration and communication skills.

Ways to stand out from the crowd:

• Experience with GenAI Security including Prompt Injection Stability, Model Extraction, Confidentiality/Data Extraction, Integrity, Availability and Adversarial Robustness.
• Experience with one or more of the following areas within Content Safety: Hate/Harassment, Sexualized, Harmful/Violent, or other specific areas from your application.
• Experience with alignment/fine-tuning of LLMs - including regular LLMs as well as VLMs  (Vision Language Model) or any-to-text
• Experience with multimodal and/or multilingual Content Safety, legal and regulatory compliance.
• Passion for AI and a demonstrated commitment to advancing the field through innovative research, prior scientific research and publication experience.

Sustainable Talent is a M/F+, disabled, and veteran equal employment opportunity and affirmative action employer.

Sustainable Talent is partnering with Nvidia a global leader who's been transforming computer graphics, PC gaming, and accelerated computing for over 25 years. We are looking for Generative AI Security Engineer to support our client's team based out of in Santa Clara, CA with remote/ hybrid work options. 

This is a full-time (W-2) contract role. We offer competitive pay $90/hr - $130/hr based on factors like experience, education, location, etc. and provide full benefits, PTO, and amazing company culture!

As a Machine Learning Engineer, you'll work alongside NVIDIA’s research and engineering teams, focused on AI Safety for LLMs, including multi-lingual, multi-modal, and reasoning models.  We value expertise in data science paired with a robust data engineering foundation.   This role is directed at assessing, and improving the safety and inclusivity of our LLM models in a scalable fashion.  We seek someone proficient in programming and scripting for comprehensive data manipulation, analysis, and model fine-tuning.  We believe in proactive problem-solving, minimal supervision, and being exceptional teammates who collaborate, think, and learn as one unit. Let's make a difference together!

What you’ll be doing:

• Develop datasets and moderator models for evaluating LLM models and end-to-end systems for Content Safety, ML Fairness. These LLM models can be txt-to-txt or multimodal-to-txt.
• Develop datasets for training LLM models with SFT and RL techniques, for Content Safety, ML Fairness, Security and more.
• Research and implement cutting-edge techniques for bias detection and mitigation in LLMs and systems.
• Define and track key metrics for responsible LLM behavior and usage.
• Follow the best practices of automation, monitoring, scale, safety.
• Contribute to our repositories and develop safety tools to help ML teams be more effective.
• Data pre-processing and analysis: Collaborate with data scientists and data engineers to collect, clean, pre-process, and transform large and wide datasets.
• Conduct exploratory data analysis (EDA) to uncover insights and identify patterns that boost the model performance.
• Collaborate with multidisciplinary teams: Collaborate with product engineers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.

What we need to see:

• Bachelor’s or Master’s Degree in Computer Science or related field or equivalent experience.
• 2+ years of work experience as a Machine Learning Engineer or Deep Learning Scientist or a similar role, with a consistent record of successfully delivering ML solutions.
• Strong programming skills in languages such as Python. Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.
• Proficiency in data manipulation, analysis, and visualization using tools like NumPy and pandas.
• Deep understanding of machine learning algorithms, statistical models, and data structures.
• Familiarity with software development practices and version control systems (e.g., Git).
• Good at problem solving and analytical ability.
• Excellent collaboration and communication skills.

Ways to stand out from the crowd:

• Experience with GenAI Security including Prompt Injection Stability, Model Extraction, Confidentiality/Data Extraction, Integrity, Availability and Adversarial Robustness.
• Experience with one or more of the following areas within Content Safety: Hate/Harassment, Sexualized, Harmful/Violent, or other specific areas from your application.
• Experience with alignment/fine-tuning of LLMs - including regular LLMs as well as VLMs  (Vision Language Model) or any-to-text
• Experience with multimodal and/or multilingual Content Safety, legal and regulatory compliance.
• Passion for AI and a demonstrated commitment to advancing the field through innovative research, prior scientific research and publication experience.

Sustainable Talent is a M/F+, disabled, and veteran equal employment opportunity and affirmative action employer.

Sustainable Talent is partnering with Nvidia a global leader who's been transforming computer graphics, PC gaming, and accelerated computing for over 25 years. We are looking for a ML Engineer, LLM Safety & Security to support our client's team based out of in Santa Clara, CA with remote/ hybrid work options. 

This is a full-time (W-2) contract role. We offer competitive pay $90/hr - $130/hr based on factors like experience, education, location, etc. and provide full benefits, PTO, and amazing company culture!

As a Machine Learning Engineer, you'll work alongside NVIDIA’s research and engineering teams, focused on AI Safety for LLMs, including multi-lingual, multi-modal, and reasoning models.  We value expertise in data science paired with a robust data engineering foundation.   This role is directed at assessing, and improving the safety and inclusivity of our LLM models in a scalable fashion.  We seek someone proficient in programming and scripting for comprehensive data manipulation, analysis, and model fine-tuning.  We believe in proactive problem-solving, minimal supervision, and being exceptional teammates who collaborate, think, and learn as one unit. Let's make a difference together!

What you’ll be doing:

• Develop datasets and moderator models for evaluating LLM models and end-to-end systems for Content Safety, ML Fairness. These LLM models can be txt-to-txt or multimodal-to-txt.
• Develop datasets for training LLM models with SFT and RL techniques, for Content Safety, ML Fairness, Security and more.
• Research and implement cutting-edge techniques for bias detection and mitigation in LLMs and systems.
• Define and track key metrics for responsible LLM behavior and usage.
• Follow the best practices of automation, monitoring, scale, safety.
• Contribute to our repositories and develop safety tools to help ML teams be more effective.
• Data pre-processing and analysis: Collaborate with data scientists and data engineers to collect, clean, pre-process, and transform large and wide datasets.
• Conduct exploratory data analysis (EDA) to uncover insights and identify patterns that boost the model performance.
• Collaborate with multidisciplinary teams: Collaborate with product engineers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.

What we need to see:

• Bachelor’s or Master’s Degree in Computer Science or related field or equivalent experience.
• 2+ years of work experience as a Machine Learning Engineer or Deep Learning Scientist or a similar role, with a consistent record of successfully delivering ML solutions.
• Strong programming skills in languages such as Python. Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.
• Proficiency in data manipulation, analysis, and visualization using tools like NumPy and pandas.
• Deep understanding of machine learning algorithms, statistical models, and data structures.
• Familiarity with software development practices and version control systems (e.g., Git).
• Good at problem solving and analytical ability.
• Excellent collaboration and communication skills.

Ways to stand out from the crowd:

• Experience with GenAI Security including Prompt Injection Stability, Model Extraction, Confidentiality/Data Extraction, Integrity, Availability and Adversarial Robustness.
• Experience with one or more of the following areas within Content Safety: Hate/Harassment, Sexualized, Harmful/Violent, or other specific areas from your application.
• Experience with alignment/fine-tuning of LLMs - including regular LLMs as well as VLMs  (Vision Language Model) or any-to-text
• Experience with multimodal and/or multilingual Content Safety, legal and regulatory compliance.
• Passion for AI and a demonstrated commitment to advancing the field through innovative research, prior scientific research and publication experience.

Sustainable Talent is a M/F+, disabled, and veteran equal employment opportunity and affirmative action employer.

Sustainable Talent is partnering with Nvidia a global leader who's been transforming computer graphics, PC gaming, and accelerated computing for over 25 years.  We are looking for a Test Engineer to support our client's Automotive Vehicles team. This is a W-2 full-time REMOTE contract role. We offer competitive pay $60/hr - $85/hr based on factors like experience, education, location, etc. and provide full benefits, PTO, and amazing company culture!

This role focuses on system-level testing, simulation triage, and technical debugging within a complex autonomous vehicle environment. You will participate in a focused effort to scale and expand the testing frameworks that will help productize ground-breaking solutions redefine the world of transportation and the growing field of self-driving cars. You will work with hardworking and dedicated multi-functional engineering teams across various vehicle subsystems to integrate their work into our AV SW platform, while achieving or exceeding all meaningful NVIDIA and automotive standards & guidelines.

What You’ll Be Doing

• Investigate and triage failures in simulation and vehicle system testing environments
• Perform system-level QA and validation testing across complex software and hardware systems
• Debug issues using logs, telemetry, and system data to identify root causes of failures
• Analyze system behavior and performance to determine whether outcomes meet expected validation criteria
• Build small automation tools or Python scripts to improve testing workflows and efficiency
• Contribute to the development and maintenance of testing frameworks, dashboards, and internal tooling
• Identify testing coverage gaps and help improve overall test infrastructure
• Collaborate with engineering teams to troubleshoot issues and drive root cause resolution
• Document findings, test results, and issue tracking through Jira or similar systems

What We Need to See

• 3+ years of experience in systems testing, QA, or validation within complex software AV environments
• Hands-on experience with Python scripting or automation to support testing or debugging workflows
• Experience debugging system behavior using logs, telemetry, or similar data sources
• Familiarity with test frameworks, simulation environments, or system-level testing tools
• Strong problem-solving and root cause analysis skills
• Experience using issue tracking tools such as Jira to document and manage testing work

Ways to Stand Out

• Experience in autonomous vehicles, robotics, or simulation platforms
• Experience improving workflows through automation or internal tooling
• Exposure to sensor systems (LiDAR, cameras, radar)
• Experience with C++ or systems-level debugging

Sustainable Talent is a M/F+, disabled, and veteran equal employment opportunity and affirmative action employer.

Sustainable Talent is partnering with Nvidia a global leader who's been transforming computer graphics, PC gaming, and accelerated computing for over 25 years.  We are looking for a Test Engineer to support our client's Automotive Vehicles team. This is a W-2 full-time REMOTE contract role. We offer competitive pay $60/hr - $85/hr based on factors like experience, education, location, etc. and provide full benefits, PTO, and amazing company culture!

This role focuses on system-level testing, simulation triage, and technical debugging within a complex autonomous vehicle environment. You will participate in a focused effort to scale and expand the testing frameworks that will help productize ground-breaking solutions redefine the world of transportation and the growing field of self-driving cars. You will work with hardworking and dedicated multi-functional engineering teams across various vehicle subsystems to integrate their work into our AV SW platform, while achieving or exceeding all meaningful NVIDIA and automotive standards & guidelines.

What You’ll Be Doing

• Investigate and triage failures in simulation and vehicle system testing environments
• Perform system-level QA and validation testing across complex software and hardware systems
• Debug issues using logs, telemetry, and system data to identify root causes of failures
• Analyze system behavior and performance to determine whether outcomes meet expected validation criteria
• Build small automation tools or Python scripts to improve testing workflows and efficiency
• Contribute to the development and maintenance of testing frameworks, dashboards, and internal tooling
• Identify testing coverage gaps and help improve overall test infrastructure
• Collaborate with engineering teams to troubleshoot issues and drive root cause resolution
• Document findings, test results, and issue tracking through Jira or similar systems

What We Need to See

• 3+ years of experience in systems testing, QA, or validation within complex software AV environments
• Hands-on experience with Python scripting or automation to support testing or debugging workflows
• Experience debugging system behavior using logs, telemetry, or similar data sources
• Familiarity with test frameworks, simulation environments, or system-level testing tools
• Strong problem-solving and root cause analysis skills
• Experience using issue tracking tools such as Jira to document and manage testing work

Ways to Stand Out

• Experience in autonomous vehicles, robotics, or simulation platforms
• Experience improving workflows through automation or internal tooling
• Exposure to sensor systems (LiDAR, cameras, radar)
• Experience with C++ or systems-level debugging

Sustainable Talent is a M/F+, disabled, and veteran equal employment opportunity and affirmative action employer.

Sustainable Talent is partnering with Nvidia a global leader who's been transforming computer graphics, PC gaming, and accelerated computing for over 25 years.  We are looking for a Test Engineer to support our client's Automotive Vehicles team. This is a W-2 full-time REMOTE contract role. We offer competitive pay $60/hr - $85/hr based on factors like experience, education, location, etc. and provide full benefits, PTO, and amazing company culture!

This role focuses on autonomous Vehicle system-level testing, simulation triage, and technical debugging. You will participate in a focused effort to scale and expand the testing frameworks that will help productize ground-breaking solutions redefine the world of transportation and the growing field of self-driving cars. You will work with hardworking and dedicated multi-functional engineering teams across various vehicle subsystems to integrate their work into our AV SW platform, while achieving or exceeding all meaningful NVIDIA and automotive standards & guidelines.

What You’ll Be Doing

• Investigate and triage failures in simulation and vehicle system testing environments
• Perform system-level QA and validation testing across complex software and hardware systems
• Debug issues using logs, telemetry, and system data to identify root causes of failures
• Analyze system behavior and performance to determine whether outcomes meet expected validation criteria
• Build small automation tools or Python scripts to improve testing workflows and efficiency
• Contribute to the development and maintenance of testing frameworks, dashboards, and internal tooling
• Identify testing coverage gaps and help improve overall test infrastructure
• Collaborate with engineering teams to troubleshoot issues and drive root cause resolution
• Document findings, test results, and issue tracking through Jira or similar systems

What We Need to See

• 3+ years of experience in systems testing, QA, or validation within complex software AV environments
• Hands-on experience with Python scripting or automation to support testing or debugging workflows
• Experience debugging system behavior using logs, telemetry, or similar data sources
• Familiarity with test frameworks, simulation environments, or system-level testing tools
• Strong problem-solving and root cause analysis skills
• Experience using issue tracking tools such as Jira to document and manage testing work

Ways to Stand Out

• Experience in autonomous vehicles, robotics, or simulation platforms
• Experience improving workflows through automation or internal tooling
• Exposure to sensor systems (LiDAR, cameras, radar)
• Experience with C++ or systems-level debugging
• Experience in CI/CD and automation

Sustainable Talent is a M/F+, disabled, and veteran equal employment opportunity and affirmative action employer.

Sustainable Talent is partnering with Nvidia a global leader who's been transforming computer graphics, PC gaming, and accelerated computing for over 25 years. We are looking for a Systems Engineering & Administration - Systems Administrator to support our client's team onsite in Santa Clara, CA. 

This is a full-time (W-2) contract role. We offer competitive pay $50/hr - $80/hr based on factors like experience, education, location, etc. and provide full benefits, PTO, and amazing company culture!

We are seeking a highly skilled and motivated System Administrator to join our dynamic team at NVIDIA. As a System Administrator, you will play a critical role in ensuring the stability, security, and efficiency of our infrastructure. This position offers an exciting opportunity to work with cutting-edge technologies and contribute to the success of our high-tech initiatives.

Key Responsibilities:

• Manage and maintain the  infrastructure, including servers, network devices, storage systems, and virtualization platforms.

• Install, configure, and troubleshoot operating systems, software applications, and hardware components.

• Implement and maintain security measures to protect the company's data and systems from cyber threats and vulnerabilities.

• Monitor system performance and reliability, identifying and resolving issues in a proactive manner to minimize downtime and ensure optimal performance.

• Plan and execute system upgrades, migrations, and patch management activities, adhering to best practices and minimizing disruptions to business operations.

• Collaborate with cross-functional teams to support business initiatives, providing technical expertise and guidance for projects.

• Develop and maintain documentation, including system configurations, procedures, and policies, to ensure effective knowledge transfer and compliance with regulatory requirements.

• Provide technical support and assistance to end-users, resolving issues in a timely and efficient manner to ensure productivity and user satisfaction.

• Participate in on-call rotation and respond to system emergencies outside of regular business hours as needed.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or related experience.

• Proven experience as a System Administrator or similar role in a high-tech environment.

• Strong knowledge of Linux operating systems, as well as experience with virtualization technologies (e.g., VMware, Hyper-V).

• Strong understanding of system hardware and remote management via IPMItool, iLO, iDRAC, etc

• Proficiency in scripting languages such as Bash or Python.

• Excellent troubleshooting skills and attention to detail, with the ability to analyze complex technical issues and implement effective solutions.

• Strong communication and interpersonal skills, with the ability to collaborate effectively with team members and stakeholders at all levels.

• Relevant certifications (e.g., CompTIA Security+, Microsoft Certified: Azure Administrator, VMware Certified Professional) are a plus.

Sustainable Talent is a M/F+, disabled, and veteran equal employment opportunity and affirmative action employer.

Sustainable Talent is partnering with Nvidia a global leader who's been transforming computer graphics, PC gaming, and accelerated computing for over 25 years. We are looking for a Windows System Validation Engineer to support our client's team onsite in Santa Clara, CA. 

This is a full-time (W-2) 6 month contract role. We offer competitive pay $50/hr - $80/hr based on factors like experience, education, location, etc. and provide full benefits, PTO, and amazing company culture!

In this role you will be responsible for test and analysis of issues across internal and OEM Windows platform configurations. The role ensures CI/CD quality, Windows driver compliance, OEM readiness (HLK/WHQL where applicable), and release readiness across system-level builds.

Key Responsibilities:

· Device Setup & Configuration: Flash builds onto boards and OEM devices; configure UEFI, OS images, and Debugger settings for debugging; enable crash dump collection and install SoC, GPU, and platform drivers.

· Develop and run automation and test for Internal and OEM devices across different functional, stress, power and performance areas

· Exploratory testing to find corner case scenarios, should have expertise in one or multiple subsystems

· Triage Internal and OEM bugs, track repro status; collect logs/dumps and assist in debugging.

· Collaboration: Work closely with BSP, OEMQA, and automation teams for timely validation; coordinate with internal and external stakeholders for build readiness and issue resolution.

· prepare test execution reports and communicate to execution team Skillset

· Hands-on experience with Windows BSP testing and platform setup.

· Familiarity with UEFI flashing, KDNET debugging, and automation tools.

· Strong understanding of power states, hibernate cycles, and modern standby.

· Proficiency in bug triage, log analysis, and reporting.

· Prior experience with OEM device validation

· Knowledge of CI/CD pipelines for BSP builds and QA automation.

· Familiarity with USB4, DP tunneling, and certification readiness task

Skillset:

• 5–8 years of Windows system-level or driver-level testing experience (application-level QA experience alone is not sufficient).

• Hands-on experience with Windows platform validation, driver installation, and driver debugging.

• Proficiency using Windows debugging tools such as WinDbg or KDNET; experience analyzing crash dumps, memory dumps, and Windows event logs.

• Strong understanding of Windows power management, including Modern Standby, ACPI, and S3/S4 sleep states.

• Experience configuring UEFI/BIOS settings and flashing Windows OS builds onto hardware platforms.

• Demonstrated experience in defect triage, log analysis, reproduction of issues, and root cause support.

• Experience working with CI/CD pipelines supporting Windows builds and regression validation.

• Familiarity with Windows Driver Kit (WDK), HLK/WHQL certification processes, or OEM device validation is strongly preferred.

• Experience validating USB4, DisplayPort (DP) tunneling, PCIe, or platform drivers is a plus.

Sustainable Talent is a M/F+, disabled, and veteran equal employment opportunity and affirmative action employer.

Sustainable Talent is partnering with Nvidia a global leader who's been transforming computer graphics, PC gaming, and accelerated computing for over 25 years. We are looking for a Windows Driver Validation Engineer to support our client's team onsite in Santa Clara, CA. 

This is a full-time (W-2) 6 month contract role. We offer competitive pay $50/hr - $80/hr based on factors like experience, education, location, etc. and provide full benefits, PTO, and amazing company culture!

In this role you will be responsible for test and analysis of issues across internal and OEM Windows platform configurations. The role ensures CI/CD quality, Windows driver compliance, OEM readiness (HLK/WHQL where applicable), and release readiness across system-level builds.

Key Responsibilities:

• Device Setup & Configuration: Flash Windows OS builds onto boards and OEM devices; install and validate SoC, GPU, USB, display, and platform drivers; configure Windows debugging tools (e.g., WinDbg/KDNET); enable and collect crash dumps and system logs.

• Perform Windows system-level and driver-level validation across functional, stress, power management (Modern Standby, S3/S4), and performance scenarios.

• Investigate Windows system crashes (e.g., BSOD), analyze memory dumps and Windows event logs, and support root cause analysis in collaboration with driver and platform teams.

• Develop and execute automated and manual test plans across internal and OEM Windows configurations, validating multiple driver and software build versions.

• Conduct exploratory testing to identify subsystem-level issues (USB, display, PCIe, power management, etc.).

• Triage internal and OEM defects; reproduce failures, collect logs and crash dumps, document findings, and track issue resolution through release readiness.

• Work closely with BSP, driver, OEM QA, and automation teams to ensure CI/CD build stability, validation coverage, and certification readiness (HLK/WHQL where applicable).

• Prepare detailed test execution reports and communicate validation results to internal and external stakeholders.

Skillset:

• 5–8 years of Windows system-level or driver-level testing experience (application-level QA experience alone is not sufficient).

• Hands-on experience with Windows platform validation, driver installation, and driver debugging.

• Proficiency using Windows debugging tools such as WinDbg or KDNET; experience analyzing crash dumps, memory dumps, and Windows event logs.

• Strong understanding of Windows power management, including Modern Standby, ACPI, and S3/S4 sleep states.

• Experience configuring UEFI/BIOS settings and flashing Windows OS builds onto hardware platforms.

• Demonstrated experience in defect triage, log analysis, reproduction of issues, and root cause support.

• Experience working with CI/CD pipelines supporting Windows builds and regression validation.

• Familiarity with Windows Driver Kit (WDK), HLK/WHQL certification processes, or OEM device validation is strongly preferred.

• Experience validating USB4, DisplayPort (DP) tunneling, PCIe, or platform drivers is a plus.

Sustainable Talent is a M/F+, disabled, and veteran equal employment opportunity and affirmative action employer.

Sustainable Talent is partnering with Nvidia a global leader who's been transforming computer graphics, PC gaming, and accelerated computing for over 25 years. We are looking for a Validation Engineer to support our client's team onsite in Santa Clara, CA. 

This is a full-time (W-2) 6 month contract role. We offer competitive pay $50/hr - $80/hr based on factors like experience, education, location, etc. and provide full benefits, PTO, and amazing company culture!

In this role you will be responsible for test and analysis of issues across internal and OEM Windows platform configurations. The role ensures CI/CD quality, Windows driver compliance, OEM readiness (HLK/WHQL where applicable), and release readiness across system-level builds.

Key Responsibilities:

• Device Setup & Configuration: Flash Windows OS builds onto boards and OEM devices; install and validate SoC, GPU, USB, display, and platform drivers; configure Windows debugging tools (e.g., WinDbg/KDNET); enable and collect crash dumps and system logs.

• Perform Windows system-level and driver-level validation across functional, stress, power management (Modern Standby, S3/S4), and performance scenarios.

• Investigate Windows system crashes (e.g., BSOD), analyze memory dumps and Windows event logs, and support root cause analysis in collaboration with driver and platform teams.

• Develop and execute automated and manual test plans across internal and OEM Windows configurations, validating multiple driver and software build versions.

• Conduct exploratory testing to identify subsystem-level issues (USB, display, PCIe, power management, etc.).

• Triage internal and OEM defects; reproduce failures, collect logs and crash dumps, document findings, and track issue resolution through release readiness.

• Work closely with BSP, driver, OEM QA, and automation teams to ensure CI/CD build stability, validation coverage, and certification readiness (HLK/WHQL where applicable).

• Prepare detailed test execution reports and communicate validation results to internal and external stakeholders.

Skillset:

• 5–8 years of Windows system-level or driver-level testing experience (application-level QA experience alone is not sufficient).

• Hands-on experience with Windows platform validation, driver installation, and driver debugging.

• Proficiency using Windows debugging tools such as WinDbg or KDNET; experience analyzing crash dumps, memory dumps, and Windows event logs.

• Strong understanding of Windows power management, including Modern Standby, ACPI, and S3/S4 sleep states.

• Experience configuring UEFI/BIOS settings and flashing Windows OS builds onto hardware platforms.

• Demonstrated experience in defect triage, log analysis, reproduction of issues, and root cause support.

• Experience working with CI/CD pipelines supporting Windows builds and regression validation.

• Familiarity with Windows Driver Kit (WDK), HLK/WHQL certification processes, or OEM device validation is strongly preferred.

• Experience validating USB4, DisplayPort (DP) tunneling, PCIe, or platform drivers is a plus.

Sustainable Talent is a M/F+, disabled, and veteran equal employment opportunity and affirmative action employer.