Software Engineer (Robotics)

Lensa; Redmond (WA); On-site; USD 213,000 - 293,000; Full time

Job summary

Lensa is seeking a Senior Software Engineer specializing in Robotics to advance AI algorithms in real-world robotics projects. Candidates should possess a relevant degree and significant experience in robotics, machine learning, and programming. This role offers the chance to work closely with a diverse team to innovate and lead cutting-edge AI solutions for robotics.

Qualifications

• 5+ years of experience in robotics or equivalent experience.
• Experience with machine learning frameworks like PyTorch, TensorFlow.
• Proficiency in Python and C++.

Responsibilities

• Define technical goals and lead technical implementations.
• Design evaluations of AI models on robotic systems.
• Collaborate with scientists to improve algorithms.

Skills

Robotics

AI algorithms

Machine learning

Programming in Python

Programming in C++

Education

Bachelor's degree in Computer Science

PhD in relevant field

Job description

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To continue our efforts in the path to AGI, and as we move closer to a future with intelligent robots and advanced AI models, we're hiring talent across a broad range of disciplines from robotics hardware to system software, machine perception, and artificial intelligence. These crucial projects and initiatives taken on by this team have never been done before, so you have a rare opportunity to help us create new ways people connect around the world.

Required Skills:

Software Engineer (Robotics) Responsibilities:

Work closely with researchers and cross-functional partners spanning multiple teams and disciplines to define technical goals and lead implementation.

Collaborate with research scientists and engineers to design and implement state-of-the-art AI algorithms and models on real robot hardware and simulation environments.

Design and conduct thorough evaluations of AI models on real-world robotic systems, identifying limitations, and proposing improvements to enhance their performance and robustness.

Effectively communicate complex features and systems in detail to diverse stakeholders.

Publish research results and contribute to research that impacts Meta product development.

Minimum Qualifications:

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

5+ years of experience in robotics or related field, or advanced degree with equivalent experience.

Experience in robotics related research areas, such as: generative AI, robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer, robotic control, manipulation, navigation, or generally embodied AI.

Experience with machine learning models, and frameworks such as PyTorch, TensorFlow, etc.

Proficiency in programming languages such as Python, C++, or similar.

Preferred Qualifications:

Preferred Qualifications:

PhD in computer science, robotics, AI, or related fields.

7+ years of industry experience, or advanced degree with equivalent experience.

Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV).

Proven knowledge of robotics fundamentals (perception, planning, control)

Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources.

Experience with generative AI, especially VLM.

Experience building systems based on machine learning and/or deep learning methods.

Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.

Experience working and communicating cross functionally in a team environment.

Experience with robot simulations and real-world hardware.

Experience designing and developing new robotic systems, platforms or infrastructure.

Public Compensation:

$213,000/year to $293,000/year + bonus + equity + benefits

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].

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