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Remote Nvidia Hardware Engineer Jobs in Nevada (NOW HIRING)

Work closely with various engineering teams for system testing and testing of new scenarios * Work ... Interact with AV to resolve tickets and issues through various software and hardware * Reporting of ...

New

If you are a software engineer and love the idea of working on embedded AI hardware and software ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

This is a remote position. #Li-Remote This role is contributing to the Electrification Smart ... hardware, protection and control relays, switchboards, power and lighting panelboards, busway ...

... autonomous vehicle hardware and software issues as they relate to remote operations ... Associate or BS in Engineering/Physics/Science or relevant field w/equivalent experience

... autonomous vehicle hardware and software issues as they relate to remote operations ... Associate or BS in Engineering/Physics/Science or relevant field w/equivalent experience

By uniting purpose-built software, integrated hardware and full implementation and support in one ... Partner with our Solutions Engineer and Solutions Architect teams for in-depth technical ...

Remote - Nationwide, United States Why WWT? At World Wide Technology, we work together to make a ... What is the Solutions Consulting & Engineering (SC&E) Team and why join? Solutions Consulting ...

New

Bachelor's degree in Computer Science, Information Systems, Cyber Security, Engineering ... This compensation range is specific to a Remote role and takes into account the wide range of ...

Data Center COE Project Manager

NV · Remote

$112K/yr

Remote in the US #LI-Remote This role is contributing to the Electrification Services Business Area ... A Bachelor of Science degree in Mechanical or Electrical Engineering highly preferred. Combination ...

While this is a remote position, preference is for candidates located in one of the following metro ... Bachelor's degree in engineering or related field. Marketing related degree or equivalent * 12 ...

Remote Nvidia Hardware Engineer information

What does a Remote Nvidia Hardware Engineer do?

A Remote Nvidia Hardware Engineer focuses on designing, developing, and testing hardware components and systems for Nvidia products, such as graphics processing units (GPUs) and related technologies, while working from a remote location. They collaborate with cross-functional teams to ensure hardware solutions meet performance, reliability, and efficiency standards. Their work may include circuit design, board layout, hardware debugging, and supporting the integration of Nvidia hardware into various devices. Remote engineers use digital communication and collaboration tools to work effectively with global teams and contribute to innovative hardware solutions.

What is the difference between Remote Nvidia Hardware Engineer vs Remote Nvidia Software Engineer?

AspectRemote Nvidia Hardware EngineerRemote Nvidia Software Engineer
Required CredentialsBachelor's or higher in Electrical Engineering, Computer Engineering, or related; hardware design certificationsBachelor's or higher in Computer Science, Software Engineering, or related; programming certifications
Work EnvironmentDesigning and testing hardware components, collaborating with hardware teamsDeveloping software, drivers, and algorithms for Nvidia products
Industry UsageHardware development for GPUs, AI accelerators, and embedded systemsSoftware development for drivers, SDKs, and AI frameworks

The main difference is that Remote Nvidia Hardware Engineers focus on designing and testing physical hardware components, while Remote Nvidia Software Engineers develop the software that runs on Nvidia hardware. Both roles require technical expertise but differ in their focus areas within the Nvidia ecosystem.

What are some common challenges faced by Remote Nvidia Hardware Engineers, and how can they be addressed?

Remote Nvidia Hardware Engineers often encounter challenges related to effective collaboration and communication, especially when working on complex hardware design and testing with distributed teams. Staying aligned with project milestones, ensuring access to necessary hardware resources, and troubleshooting remotely can also be demanding. These challenges can be addressed by leveraging robust collaboration tools, maintaining clear documentation, and scheduling regular virtual meetings to synchronize efforts. Additionally, using remote desktop solutions and cloud-based simulation environments can help bridge the gap when physical access to hardware is limited.

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

To thrive as a Remote Nvidia Hardware Engineer, you need a strong background in electrical or computer engineering, experience with GPU architecture, and proficiency in hardware design and validation. Expertise with tools such as Verilog/VHDL, simulation environments, and familiarity with Nvidia’s development platforms or relevant certifications is common. Strong problem-solving abilities, effective remote communication, and collaborative teamwork skills set top candidates apart. These competencies ensure efficient development, troubleshooting, and innovation in high-performance hardware solutions within distributed teams.
What are the most commonly searched types of Nvidia Hardware Engineer jobs in Nevada? The most popular types of Nvidia Hardware Engineer jobs in Nevada are:
What are popular job titles related to Remote Nvidia Hardware Engineer jobs in Nevada? For Remote Nvidia Hardware Engineer jobs in Nevada, the most frequently searched job titles are:
What cities in Nevada are hiring for Remote Nvidia Hardware Engineer jobs? Cities in Nevada with the most Remote Nvidia Hardware Engineer job openings:
Senior Embedded Software Engineer

Senior Embedded Software Engineer

Motional

Las Vegas, NV • On-site, Remote

$118K - $155K/yr

Other

Re-posted 12 days ago


Job description

Mission Summary:

Motional's onboard autonomous driving system team works at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional's next-generation on-board autonomous driving system. As part of this team, the High Performance Compute Platform team is responsible for Motional's current and next-generation onboard autonomous driving system. If you are a software engineer and love the idea of working on embedded AI hardware and software compute systems to create the next generation of autonomous vehicles, we would love to talk with you. We are hiring in a range of levels, from graduate engineers to Staff engineers.

What You'll Be Doing:

  • Design and develop infrastructure software on various hardware platforms for applications such as vision processing, radar systems, safety monitoring, etc., to be run on self-driving vehicles.
  • Design test harnesses for embedded software components and full systems
  • Provide technical mentorship to engineers.
  • Proactively work with cross-functional engineering teams to solve complex and interesting problems.

What We're Looking For:

  • Experience with creating detailed requirements from use cases.
  • Ability to lead a technical initiative, including breaking down work and guiding other engineers through execution.
  • Experience writing software for embedded platforms in C and C++.
  • Experience with Test-Driven Development (TDD).
  • Experience working on embedded Linux / RTOSs.
  • Experience working with networks (Ethernet, CAN etc.) and the common networking protocols.
  • Experience with debugging on embedded platforms.
  • Experience writing software in Python and experience doing automation with shell scripting.
  • Experience working with ARM Cortex MCUs or Microprocessors.

Bonus Points (not required):

  • Experience working with large data pipelines, and platforms that require deterministic execution.
  • Experience using inter-system communication protocols such as I2C and SPI
  • Experience deploying Machine Learning models.
  • Experience working with GPUs.
  • Experience working directly with the Linux kernel or Device Drivers.
  • Experience with Simulation and Code Generation, and knowing when their use is appropriate.
  • Experience working with Bazel.
  • Experience integrating various sensors, including Cameras, IMUs, Radars, LIDARs.
  • Experience with PyTorch, TensorFlow, ONNX, and/or other ML frameworks. 

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.