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Nvidia Robotics Jobs in Maryland (NOW HIRING)

Machine Learning Engineer

Berlin, MD · On-site

$79.93 - $137.02/hr

We integrate cutting-edge robotics into a platform powering intelligence and automation products ... Optimise training and inference pipelines for real-time deployment on NVIDIA edge GPUs. * Lead data ...

Experience in defense, aerospace, robotics, or industrial systems * Exposure to edge computing or GPU-based platforms (NVIDIA, AI/ML) * Background in rugged or mission-critical environments * Any ...

Nvidia Robotics information

See Maryland salary details

$81.5K

$93.2K

$113.1K

How much do nvidia robotics jobs pay per year?

As of Aug 24, 2026, the average yearly pay for nvidia robotics in Maryland is $93,171.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,300.00 and $99,000.00 per year, depending on experience, location, and employer.

What is an Nvidia Robotics job?

An Nvidia Robotics job involves working on cutting-edge robotics technology, including AI-powered perception, planning, and control systems. Engineers in this role develop software and hardware solutions for autonomous machines, leveraging NVIDIA's GPUs, AI frameworks, and simulation tools. These jobs often involve contributing to platforms like Isaac Sim and Jetson to accelerate robotics research and deployment across industries such as manufacturing, logistics, and healthcare.

What are the typical responsibilities of a robotics engineer at Nvidia?

Robotics engineers at Nvidia are often involved in designing, developing, and testing advanced robotics solutions that leverage the company's cutting-edge AI and GPU technologies. On a daily basis, they may work on software algorithms, integrate sensor and perception systems, and optimize robotic hardware performance. Collaboration is a key part of the role, as engineers frequently interact with colleagues in software development, research, hardware engineering, and product management to bring new robotics platforms to market. Team members also participate in regular cross-functional meetings to align project goals and ensure seamless integration of robotics technologies across products.

What are the key skills and qualifications needed for a robotics position at Nvidia?

To excel in Nvidia Robotics, candidates typically need a strong background in robotics engineering, computer vision, machine learning, and software development, often supported by a relevant degree in computer science, engineering, or a related field. Experience with programming languages such as Python and C++, familiarity with ROS (Robot Operating System), and certifications in AI or robotics platforms are highly valued. Strong problem-solving abilities, teamwork, and adaptability help professionals address complex technical challenges and collaborate effectively. These skills are crucial for developing, optimizing, and deploying advanced robotic systems that meet Nvidia's innovative standards.

Does Nvidia Robotics have a robotics department?

Nvidia Robotics is a division within Nvidia focused on developing robotics solutions, including AI, sensors, and autonomous systems. The division employs engineers and researchers specializing in robotics, computer vision, and AI technologies to advance robotics applications. Job seekers interested in Nvidia Robotics should have skills in software development, AI, and robotics hardware integration.

How much do Nvidia Robotics engineers make?

Nvidia Robotics engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and specific role. Senior engineers or those with specialized skills in AI, machine learning, or robotics may earn higher salaries. Compensation often includes benefits such as stock options and bonuses.

What are the most commonly searched types of Nvidia Robotics jobs in Maryland?

The most popular types of Nvidia Robotics jobs in Maryland are:

What are popular job titles related to Nvidia Robotics jobs in Maryland?

For Nvidia Robotics jobs in Maryland, the most frequently searched job titles are:

Infographic showing various Nvidia Robotics job openings in Maryland as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, 3% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $93,171 per year, or $44.8 per hour.

Electronics / Embedded Robotics Engineer

PassFort

Berlin, MD • On-site

$81 - $116/hr

Other

Posted 6 days ago


Job description

sensmore automates the world's largest machines with unprecedented intelligence. Our proprietary Physical AI enables heavy machines such as wheel loaders to instantly adapt to dynamic environments and execute new tasks without prior training.

We integrate cutting-edge robotics into a platform powering intelligence and automation products - transforming productivity and safety for customers in mining, construction, and adjacent industries today.

Join us and play a pivotal role in transforming the automation landscape in heavy industries.

Role Overview:

We are looking for a skilled Electronics / Embedded Engineer to enhance our team. This role requires a strong background in electronics design, embedded firmware, and hardware deployed in harsh environments. The successful candidate will be instrumental in building the electronic systems and firmware that connect our AI stack to real machines and keep them running reliably in the field.

Key Responsibilities:
  • Design and bring up custom electronics – schematics, PCB layout, and component selection – for sensor interfacing, power distribution, and machine control.

  • Develop and validate embedded firmware on microcontrollers for sensor acquisition, actuator drive, and safety-relevant functions.

  • Own the electrical architecture of the machine kit, covering power budgeting, protection, grounding, EMC, and rugged wire harness design.

  • Collaborate with interdisciplinary teams to integrate hardware and firmware into the wider robotic system, from prototype through field testing to repeatable production.

Required Qualifications:
  • Bachelor's or Master's degree in Electrical/Electronic Engineering, Mechatronics, Computer Engineering, or a related field.

  • Proficient in embedded C/C++ on ARM Cortex-M or comparable microcontrollers.

  • Proven experience taking electronics from schematic to working board using tools such as Altium or KiCad.

  • Solid understanding of communication protocols (CAN/CAN FD, I2C, SPI, UART, Ethernet) and the instruments used to debug them.

  • Practical experience deploying electronics and wire harnesses in adverse industrial or automotive conditions, including power protection and signal integrity.

Preferred Skills:
  • Practical experience with off-highway machinery, automotive, or other safety-relevant platforms.

  • Familiarity with functional safety and EMC standards such as ISO 13849, IEC 61508, or CISPR 25.

  • Knowledge of electrical integration for Linux-based compute platforms such as NVIDIA Jetson or industrial PCs.

  • Experience with motors, actuators, valve drivers, and closed-loop control.

  • Proven track record of shipping hardware into production, from test jigs and bring-up procedures through to field servicing.

What We Offer:
  • Build physical AI for the world's largest off-highway machinery – making them intelligent, safe, and ready for every tough task

  • Join the pioneer in intelligent robotics backed by Point Nine & other Tier 1 investors

  • Combine cutting-edge robotics research in end-to-end learning & Vision Language Action Model with real-world heavy mobile equipment

  • Tailor your own career path, whether you like to become technical specialist or technical team lead

  • Experience a great team culture, beverages, and an amazing office environment


Benefits:
  • Attractive compensation package and stock options.

  • Beverages on-site and regular social events.

  • Engage with top-tier researchers, engineers, and thought leaders.

  • Influence the future of robotic technologies and tackle significant technological challenges.

  • Assistance with relocation to Berlin.


About Us:

Heavy machinery, light years ahead.

sensmore automates the world's largest machines with unprecedented intelligence. Our proprietary Physical AI enables heavy machines such as wheel loaders to instantly adapt to dynamic environments and execute new tasks without prior training.

We integrate cutting-edge robotics into a platform powering intelligence and automation products - transforming productivity and safety for customers in mining, construction, and adjacent industries today.

We are proudly backed by Point Nine and other Tier 1 investors.

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