Senior SLAM Engineer
Description For Senior SLAM Engineer
Apptronik, a pioneering robotics company, is seeking a Senior SLAM Engineer to drive next-generation perception capabilities for humanoid robots. This role combines cutting-edge research in 3D scene reconstruction, SLAM, and behavior cloning with practical implementation in real-world robotic systems. The position requires expertise in computer vision, deep learning, and robotics, with a focus on developing innovative solutions for complex environmental understanding and robot navigation.
The ideal candidate will have advanced education (PhD or MS) in Computer Science or related fields, with substantial experience in modern computer vision techniques. They will work with state-of-the-art technology and frameworks, including Python, C++, machine learning frameworks, and robotics platforms like ROS/ROS 2. The role offers an opportunity to work on groundbreaking robotics technology aimed at improving human quality of life and addressing labor shortage challenges.
The position offers competitive compensation, including equity, flexible work arrangements, and comprehensive benefits. Based in Austin, TX, you'll join a team with a strong track record in advanced robotics, dating back to the DARPA Robotics Challenge. This is an opportunity to work on truly innovative products that have the potential to change the world for the better, in an environment that values passion, creativity, and collaboration.
Responsibilities For Senior SLAM Engineer
- Develop novel approaches to 3D scene reconstruction and SLAM for humanoid robots
- Develop algorithms for scene understanding
- Investigate and implement state-of-the-art techniques in behavior cloning
- Develop metrics and evaluation methods for perception accuracy
- Impact all aspects of the perception pipeline
- Engage in full R&D lifecycle
- Stay current with latest advancements in perception and robotics
- Follow best practices for reproducible research
- Collaborate with cross functional team
Requirements For Senior SLAM Engineer
- PhD (2+ years) or MS (4+years) in Computer Science, Robotics, Electrical Engineering, or related field
- Strong background in deep learning and reinforcement learning applied to computer vision and robotics
- Experience with 3D scene reconstruction, SLAM, and scene understanding techniques
- Proficiency in Python and C++
- Experience with machine learning frameworks and computer vision libraries
- Familiarity with robotics frameworks such as ROS / ROS 2
- Experience with Lidar, RGBD and IMU data
- Experience building data pipelines for sensor data processing
- Strong communication skills
- 5+ years of experience with modern computer vision techniques
Benefits For Senior SLAM Engineer
- Competitive base with benefits
- Equity incentive package
- Hybrid work schedule
- Flexible work hours
- Professional development opportunities
- Open/Flexible Paid Time Off (PTO)
- 401k plan
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