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From Home Nvidia Robotics Jobs in Howell, MI (NOW HIRING)

Incredible Health

PACU RN

Grand Blanc, MI

$72K - $111K/yr

Cardiac Monitoring, Circulate, Pediatric, Presurgical assessment, Robotic surgery, Transplant, or ... transition from the operating room to the PACU to discharge home * Educate patients and their ...

Incredible Health

PACU RN

Grand Blanc, MI · On-site

$72K - $111K/yr

Cardiac Monitoring, Circulate, Pediatric, Presurgical assessment, Robotic surgery, Transplant, or ... transition from the operating room to the PACU to discharge home * Educate patients and their ...

Incredible Health

PACU RN

Grand Blanc, MI · On-site

$72K - $111K/yr

Cardiac Monitoring, Circulate, Pediatric, Presurgical assessment, Robotic surgery, Transplant, or ... transition from the operating room to the PACU to discharge home * Educate patients and their ...

Incredible Health

PACU RN

Grand Blanc, MI · On-site

$72K - $111K/yr

Cardiac Monitoring, Circulate, Pediatric, Presurgical assessment, Robotic surgery, Transplant, or ... transition from the operating room to the PACU to discharge home * Educate patients and their ...

Incredible Health

PACU RN

Grand Blanc, MI · On-site

$72K - $111K/yr

Cardiac Monitoring, Circulate, Pediatric, Presurgical assessment, Robotic surgery, Transplant, or ... transition from the operating room to the PACU to discharge home * Educate patients and their ...

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All JobsNvidia Robotics JobsFrom Home Nvidia Robotics JobsFrom Home Nvidia Robotics Jobs in Howell, MI

From Home Nvidia Robotics information

See Howell, MI salary details

$78.6K

$89.8K

$109K

How much do from home nvidia robotics jobs pay per year?

As of Sep 5, 2026, the average yearly pay for from home nvidia robotics in Howell, MI is $89,834.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,200.00 and $95,400.00 per year, depending on experience, location, and employer.

What is a from home Nvidia Robotics job?

'From Home Nvidia Robotics' jobs refer to remote positions with Nvidia that focus on robotics development, research, or support. These roles may include software engineering, AI development, simulation, or technical support for Nvidia's robotics platforms and tools, such as Isaac Sim or Jetson. Employees in these roles can work from their homes while collaborating virtually with global teams to develop cutting-edge robotics solutions. The work often involves coding, testing, and deploying robotics applications or supporting customers and partners using Nvidia's robotics technologies.

What are the key skills and qualifications needed to thrive as a from home Nvidia Robotics engineer?

To thrive as a Work-From-Home NVIDIA Robotics Engineer, you generally need a background in robotics, computer science, or engineering, with strong programming skills in languages like Python or C++. Familiarity with NVIDIA hardware (such as Jetson platforms), robotics middleware (like ROS), and deep learning frameworks is often required, along with relevant certifications or project experience. Excellent problem-solving, remote collaboration, and communication skills set standout candidates apart. These skills ensure the ability to develop, test, and deploy advanced robotics solutions efficiently while working remotely.

What are the typical collaboration tools and communication methods used by Nvidia Robotics teams working from home?

Nvidia Robotics professionals working remotely typically rely on a suite of digital collaboration tools to stay connected and productive. Common platforms include Slack or Microsoft Teams for instant messaging, Zoom for video meetings, and project management tools like Jira or Asana to track tasks and progress. Code collaboration and version control are usually managed through GitHub or GitLab. Regular virtual stand-ups and documentation sharing ensure everyone stays aligned, and there's a strong emphasis on clear, timely communication to support teamwork across different time zones and disciplines.

What is the difference between From Home Nvidia Robotics vs From Home Nvidia Data Analyst?

AspectFrom Home Nvidia RoboticsFrom Home Nvidia Data Analyst
Required CredentialsBachelor's in Robotics, Computer Science, or related field; certifications in robotics or automationBachelor's in Data Science, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentRemote, involving software development, robotics programming, and simulationRemote, focusing on data collection, analysis, and reporting
Industry UsageRobotics, automation, AI developmentData-driven decision making, analytics, AI training

While both roles are remote and involve working with Nvidia technologies, From Home Nvidia Robotics focuses on developing and programming robotic systems, whereas From Home Nvidia Data Analyst centers on analyzing data to support business and AI insights. The credentials overlap in technical skills, but the job functions differ significantly in their focus areas.

What job categories do people searching From Home Nvidia Robotics jobs in Howell, MI look for?

The top searched job categories for From Home Nvidia Robotics jobs in Howell, MI are:

What cities near Howell, MI are hiring for From Home Nvidia Robotics jobs?

Cities near Howell, MI with the most From Home Nvidia Robotics job openings:

From Home Nvidia Robotics jobs near you
Infographic showing various From Home Nvidia Robotics job openings in Howell, MI as of August 2026, with employment types broken down into 2% As Needed, 62% Full Time, 28% Part Time, 3% Contract, and 5% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $89,834 per year, or $43.2 per hour.

Sr. Vehicle Application Software Engineer

Compal USA, INC

Farmington Hills, MI • On-site

$110 - $140/hr

Other

Posted 15 days ago

Job description

Position Overview

SYLUX is seeking a highly motivated Senior Vehicle Application Software Engineer to join our team in Farmington Hills, Michigan. This position will focus on the development, integration, and validation of advanced software features for SYLUX automotive infrared perception and safety systems.


The Vehicle Application Software Engineer will bridge software development, vehicle integration, ADAS feature development, and real-world validation. The role will transform SYLUX infrared camera and CDAT™ AI perception capabilities into functional vehicle features, including Automatic Emergency Braking (AEB), Forward Collision Warning (FCW), Rear AEB, Safe Door Opening, Adaptive Cruise Control, and other next-generation safety applications. This is a hands‑on engineering position that requires software development and direct interaction with vehicles, sensors, CAN networks, test equipment, and demonstration platforms.


Key Responsibilities
Software Development

  • Design, develop, integrate, and validate software features utilizing SYLUX infrared cameras and CDAT™ AI perception software.

  • Develop, maintain and optimize a globally shared vehicle application used across the engineering teams.

  • Translate system and customer requirements into functional software features and vehicle-level behaviors.

  • Support feature development from proof-of-concept to customer-ready vehicle demonstration, validation, and customer evaluation.

  • Develop algorithms that convert perception output (object classification, distance, tracking, vehicle speed) into vehicle warnings, decisions, and control actions.

  • Perform driver and kernel-level hardware bring-up, diagnosing and resolving low-level driver and kernel module installation issues.

  • Extend perception-based feature logic to support new and evolving ADAS applications, including:

    • Forward Collision Warning (FCW)

    • Automatic Emergency Braking (AEB)

    • Rear Automatic Braking (RAB)

    • Safe Door Opening (SDO)

    • Blind Spot Monitoring (BSM)

    • Adaptive Cruise Control (ACC)

    • Parking and Low-Speed Safety Features

    • Additional infrared-enabled ADAS and automated driving applications




Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, Robotics, Mechatronics, or a related technical discipline.

  • 5+ years of software development experience, preferably within automotive, ADAS, robotics, autonomous driving, embedded systems, or perception technologies.

  • Experience with automotive infrared, camera, radar, LiDAR, or other perception sensors.

  • Experience developing real‑time or multi-threaded software applications.

  • Experience with automotive vehicle networks, CAN bus interfacing tools (CANalyzer / kvaser)

  • Experience with DBC database structures and CAN signal encoding/decoding.

  • Familiarity with ROS2 framework

  • Experience with low-level hardware interfaces RS232, SPI, GPIO, Ethernet/UDP, and USB.

  • Experience working in Linux or NVIDIA development environments.

  • Experience with Git or similar version-control systems.

  • Strong programming skills in Python and/or C++.

  • Ability to produce clear technical documentation, such as system / vehicle architecture diagrams.

  • Strong written and verbal communication skills.

  • Ability to work effectively with multidisciplinary and international engineering teams.


Travel

Approximately 15–25% travel, including customer demonstrations, vehicle testing, proving-ground activities, data collection, trade shows, and support of SYLUX programs in the United States and internationally.

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