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Applied ML Engineer

Arlington, VA · Hybrid

$190K - $250K/yr

... perception tasks that power our edge-intelligent maritime systems. This role requires someone ... Master's or PhD in Computer Vision, Machine Learning, Robotics, or related field. Bachelors ...

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Robotics Perception Engineer information

What are Robotics Perception Engineers?

Robotics Perception Engineers are professionals who specialize in enabling robots to interpret and understand their environment using sensors and data processing algorithms. They work on developing and implementing computer vision, sensor fusion, and machine learning techniques so that robots can perceive objects, people, and surroundings. Their work is crucial for applications such as autonomous vehicles, drones, industrial automation, and service robots. By improving a robot's ability to 'see' and make sense of the world, they help create safer and more effective robotic systems.

What is the difference between Robotics Perception Engineer vs Computer Vision Engineer?

AspectRobotics Perception EngineerComputer Vision Engineer
Required CredentialsBachelor's or Master's in Robotics, Computer Science, or Electrical Engineering; experience with perception algorithmsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; strong programming skills in vision processing
Work EnvironmentRobotics labs, autonomous vehicle companies, industrial automationSoftware companies, tech startups, research labs focusing on image and video analysis
Industry UsageAutonomous vehicles, robotics, manufacturingHealthcare, security, consumer electronics, automotive

Robotics Perception Engineers focus on developing perception systems specifically for robots, integrating sensors and perception algorithms for navigation and interaction. Computer Vision Engineers primarily develop algorithms for interpreting visual data across various applications. While both roles require strong programming and understanding of perception, Robotics Perception Engineers specialize in sensor fusion and real-time processing within robotic systems, whereas Computer Vision Engineers work more broadly on image analysis and recognition tasks.

What are some common challenges faced by Robotics Perception Engineers when integrating new sensors into autonomous systems?

Robotics Perception Engineers often encounter challenges such as sensor calibration, data synchronization, and managing varying data quality when integrating new sensors. Ensuring that sensor data is accurately aligned in time and space is crucial for reliable perception in autonomous systems. Additionally, engineers must address the complexities of fusing data from multiple modalities (like cameras, LiDAR, or radar) while optimizing processing efficiency. Close collaboration with hardware and software teams is essential to troubleshoot integration issues and achieve robust, real-time perception.

What are the key skills and qualifications needed to thrive as a Robotics Perception Engineer, and why are they important?

To thrive as a Robotics Perception Engineer, you need strong expertise in computer vision, sensor fusion, machine learning, and proficiency in programming languages like C++ and Python, often supported by a degree in robotics, computer science, or a related field. Familiarity with tools and frameworks such as ROS (Robot Operating System), OpenCV, and deep learning libraries, as well as experience with sensors like LiDAR and cameras, is typically required. Excellent problem-solving abilities, teamwork, and adaptability help set standout professionals apart in this role. These competencies are crucial for enabling robots to accurately interpret and interact with their environment, leading to robust and reliable autonomous systems.
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Robotics Perception Engineer jobs near you
Senior Software Engineer, Infrastructure

Senior Software Engineer, Infrastructure

Anduril Industries

Washington, DC • On-site

$122K - $167K/yr

Other

Posted 26 days ago

Anduril rating

9.4

Company rating: 9.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

Job description

ABOUT THE TEAM

The Discovery team at Anduril is at the forefront of incubating and maturing high-potential, software-defined, AI-native offerings that meet the toughest, newest challenges across hardware, software, space, and cyber domains. We're the architects of mission autonomy and mesh networking, delivering scalable hardware solutions that meet some of the most urgent national security needs. By working hand-in-hand with elite teams in Perception, AI, Motion Planning, Hardware, Test Engineering, Space, Networking, and Vehicle hardware, we craft cutting-edge, end-to-end systems that redefine mission success.

ABOUT THE JOB

Discovery is looking for a seasoned infrastructure engineer who will help us build out robust compute infrastructure for scalable machine learning operations. You will tackle a diverse range of challenges in networking, autonomy, systems integration, robotics, and more. Your work will ensure seamless integration of Anduril products to achieve critical outcomes. You will work on a fast paced team and have opportunities to watch your creations operate in fielded deployment environments. Above all, Software Engineers at Anduril must embody a "Whatever It Takes" mindset-executing tasks expediently, scalably, and pragmatically while prioritizing the mission. You will make sound engineering decisions to deliver high-quality outcomes on time. In addition to building the software, you will work directly with customers to deploy it.
WHAT YOU'LL DO

  • Stand up the infrastructure, simulation solutions, and integrations for agent development
  • Manage Infrastructure-as-Code at scale: for cloud, on-premise, and hybrid deployments
  • Create capabilities for multiple customers with heavy training and validation workloads
  • Build applications to productize and democratize scalable machine learning at Anduril
  • Collaborate closely with customers, product designers, researchers, and other engineering teams to shape and build new software products and applications, optimizing for maximum value to the end user.
REQUIRED QUALIFICATIONS
  • Bachelor's Degree or higher in engineering, computer science, mathematics, physics, chemistry, or related technical discipline
  • 3 - 8+ years working with a variety of programming languages such as Java, Python, C++, Rust, Go, JavaScript, etc.
  • Experience building software solutions involving significant amounts of data processing and analysis
  • Hands-on experience with Docker for building and managing containerized applications, deploying and scaling services on Kubernetes clusters, and configuring CI/CD pipelines
  • Ability to quickly understand and navigate complex systems and established code bases
  • A desire to work on critical software that has a real-world impact
PREFERRED QUALIFICATIONS
  • Demonstrated experience creating and running ML infrastructure for post-training: supervised fine tuning, reinforcement learning, etc.
  • Expertise in virtualization and containerization technologies
  • Experience with SITL and HITL simulation infrastructure design, development and deployment for complex systems
Anduril Industries logo

About Anduril Industries

Sourced by ZipRecruiter

Anduril Industries is a trailblazer in the technology industry based in Costa Mesa, CA, US. Founded in 2017 by Palmer Luckey, the creator of Oculus VR, the company focuses on developing innovative technology to equip and empower those in the defense sector. Its primary products include cutting-edge autonomous systems and AI software that assist in combating threats to national and global security. The mission of Anduril Industries is to integrate technology and defense by building transformative, scalable solutions that ensure a safer world.

Industry

Guided missile and space vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Costa Mesa, CA, US

Year founded

2017

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