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Nvidia Jetson Jobs (NOW HIRING)

Knightscope

Senior AI/ML Engineer

Sunnyvale, CA · On-site

$122K - $167K/yr

Deep Stream multi-model architecture, YOLOv9/YOLO-family detection models for people, vehicle, license plate, and face detection, GPU-accelerated inference on NVIDIA Jetson Orin NX and Xavier. • ...

Swarmbotics AI

Software Deployment Engineer

Phoenix, AZ · On-site

The ideal candidate has deep expertise in Linux-based embedded systems, NVIDIA Jetson platforms, containerized deployments, and DevOps practices tailored for robotics systems operating in constrained ...

Sigma Design

Embedded Linux Platform Engineer

Redmond, WA · On-site

$111K - $132K/yr

Execute and maintain the Jetson OS image build process for NVIDIA AGX Orin and AGX Thor platforms using established procedures and runbooks. * Perform systematic validation of OS images prior to ...

Sigma Design

Embedded Linux Platform Engineer

Redmond, WA · On-site

$111K - $132K/yr

Execute and maintain the Jetson OS image build process for NVIDIA AGX Orin and AGX Thor platforms using established procedures and runbooks. * Perform systematic validation of OS images prior to ...

Alocity

Be Seen First

Senior Edge Software Engineer (Onsite - Fort Lauderdale, FL)

Pembroke Pines, FL · On-site

$90K - $150K/yr

NVIDIA Jetson devices * Linux-based edge appliances * Enterprise cloud infrastructure * Real-time video and event processing platforms You'll work across: * Edge computing * AI infrastructure * APIs ...

Cyvl, Inc

Senior Embedded Systems Engineer

Boston, MA · On-site

$160K - $250K/yr

Design and integrate multi-sensor systems (LiDAR, cameras, GPS, IMU) with Nvidia Jetson Orin or Thor SoMs, including power delivery, signal integrity, and time synchronization (PTP/PPS). * Develop ...

Ghost Robotics

Linux Systems Engineer

Philadelphia, PA · On-site

Support and maintain NVIDIA Jetson modules and associated embedded platforms. Build System Architecture * Develop and maintain sophisticated Linux build environments. * Manage software dependencies ...

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Nvidia Jetson information

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How much do nvidia jetson jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for nvidia jetson in the United States is $60.53, according to ZipRecruiter salary data. Most workers in this role earn between $50.72 and $69.47 per hour, depending on experience, location, and employer.

What is the difference between Nvidia Jetson vs Embedded Systems Engineer?

AspectNvidia JetsonEmbedded Systems Engineer
CredentialsKnowledge of AI, Linux, and hardware integrationDegree in Electrical, Computer Engineering, or related fields; certifications vary
Work EnvironmentHardware development, embedded AI applications, prototypingDesigning, developing, and testing embedded systems across industries
Industry UsageRobotics, AI, IoT, autonomous vehiclesConsumer electronics, automotive, aerospace, industrial automation

While Nvidia Jetson focuses on hardware platforms for AI and robotics, Embedded Systems Engineers design and develop the software and hardware for embedded devices across various industries. Both roles require knowledge of embedded systems, but Nvidia Jetson specialists are more hardware and AI-focused, whereas Embedded Systems Engineers have broader responsibilities in system design and integration.

What are the key skills and qualifications needed to thrive as an Nvidia Jetson Developer, and why are they important?

To excel as an Nvidia Jetson Developer, you need a strong background in embedded systems, computer vision, and programming languages such as Python and C++, often supported by a relevant engineering or computer science degree. Familiarity with the Jetson platform, CUDA programming, deep learning frameworks (like TensorFlow or PyTorch), and related SDKs is typically required. Problem-solving, creativity, and effective communication are essential soft skills for designing innovative AI solutions and collaborating across teams. These skills are crucial for developing efficient, real-time AI applications that leverage the full capabilities of Nvidia Jetson hardware.

What are Nvidia Jetson devices?

Nvidia Jetson refers to a series of small, powerful computers developed by Nvidia for edge AI, robotics, and embedded systems. These devices are designed to deliver high-performance computing and artificial intelligence capabilities in a compact form factor. Jetson modules, such as the Jetson Nano, TX2, Xavier NX, and AGX Xavier, are widely used in applications like robotics, drones, smart cameras, and industrial IoT solutions. They provide developers with GPU-accelerated parallel processing, making them suitable for deep learning, computer vision, and other AI workloads at the edge. Jetson devices also come with a comprehensive software stack, including support for the Nvidia JetPack SDK.

What are some common challenges faced by engineers working with Nvidia Jetson platforms, and how can they be addressed?

Engineers working with Nvidia Jetson platforms often encounter challenges such as optimizing deep learning models for edge deployment, managing power and thermal constraints, and integrating various sensors and peripherals. Addressing these challenges typically involves utilizing Nvidia's development tools like JetPack SDK, TensorRT for model optimization, and carefully profiling system performance. Collaborating closely with software and hardware teams, staying updated with Nvidia's documentation, and participating in relevant developer forums can also help in solving technical hurdles effectively.
Infographic showing various Nvidia Jetson job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $125,908 per year, or $60.5 per hour.

Embedded Systems Engineer IV, Research & Development

acv

Buffalo, NY

Other

Posted 19 days ago

Job description

Who we are looking for:

As an Engineer IV, Embedded Systems within the R&D team, you will serve as a technical anchor for our next-generation hardware platforms. You will design, develop, and optimize high-performance software running on a variety of embedded systems—ranging from single-board computers and edge AI compute modules to custom ARM architecture.

This role requires a unique blend of scrappy, proof-of-concept rapid prototyping and disciplined, production-grade software engineering. You will own the software lifecycle for new devices, ensuring seamless integration between low-level hardware, sensors, edge computing frameworks, and our enterprise cloud infrastructure.

What you will do:

  • End-to-End Development: Architect, implement, and maintain embedded software from initial conceptual prototypes to ruggedized, scalable, enterprise-level production code.
  • Platform Ownership: Develop and optimize firmware and middleware on platforms including Raspberry Pi, NVIDIA Jetson, and ARM-based System-on-Modules (SOMs).
  • Sensor & Peripheral Integration: Write and debug low-level drivers and interfaces for a diverse ecosystem of peripherals, cameras, and environmental sensors via protocols such as I2C, SPI, UART, USB, and PCIe.
  • Edge Intelligence & Compute: Optimize software on compute-constrained edge devices, including leveraging hardware acceleration (e.g., CUDA, TensorRT on Jetson platforms) for real-time data processing and computer vision pipelines.
  • System Stability & Lifecycle: Design robust fault-detection, automated recovery mechanisms, and secure over-the-air (OTA) firmware update systems to ensure maximum field stability.
  • Cross-Functional Collaboration: Partner closely with hardware/electrical engineers, mechanical designers, and cloud backend teams to define system architectures and interfaces.
  • Mentorship & Standards: Drive code quality through rigorous code reviews, automated testing, and comprehensive documentation. Mentor junior and mid-level engineers on the team.
  • Perform additional duties as assigned.

What you will need:

  • Ability to read, write, speak and understand English.
  • BS degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field (or equivalent practical experience).
  • 6+ years’ Professional experience in embedded software development, with a proven track record of shipping commercial or industrial hardware products
  • Expert-level proficiency in C and C++; strong scripting skills in Python or Bash for testing and automation.
  • OS Expertise: Deep experience developing within Embedded Linux environments (including kernel configuration, device tree modification, and custom driver development).
  • Hands-on experience building applications on Raspberry Pi (Linux/Debian) and NVIDIA Jetson (JetPack ecosystem).
  • Solid understanding of hardware communication protocols: SPI, I2C, UART, CAN bus, USB.
  • Experience interfacing with high-resolution image sensors, cameras, or specialized sensors.
  • Proficiency with modern software engineering tools: Git, CMake, Docker, and CI/CD pipelines tailored for embedded targets.
  • Familiarity with networking stacks and IoT communication protocols (TCP/IP, UDP, MQTT, gRPC).
  • Comfortable utilizing lab equipment like oscilloscopes, logic analyzers, and multimeters to debug hardware/software boundary issues.
  • Expert in version control systems including trunk-based development, multiple release planning, cherry picking, and rebase.
  • Nice to Have Technical Competencies
    • Experience with custom Linux distribution builders like Yocto Project or Buildroot.
    • Familiarity with real-time operating systems (RTOS) or bare-metal ARM development.
    • Experience deploying or optimizing machine learning models at the edge.

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