Wild Card

About the role

The Wild Card at Menlo is a unique opportunity for unconventional thinkers, those who don't fit neatly into traditional roles, and those who bring fresh perspectives and innovative ideas. We are looking for individuals who embody fast and curious minds, obsessive outliers, underdogs, and those who thrive in a dynamic, high-performing environment.

Responsibilities

• Collaborate with cross-functional teams to develop and implement solutions using cutting-edge technologies.
• Contribute to the design and development of humanoid robot platforms, including hardware and software components.
• Participate in the research and development of advanced robotics and AI technologies.
• Work closely with stakeholders to understand project requirements and translate them into technical specifications.
• Stay updated with the latest advancements in robotics, AI, and related fields through continuous learning and professional development.

Requirements

• Strong background in computer science, engineering, or a related field.
• Experience with robotics, AI, machine learning, or related technologies.
• Ability to work independently and as part of a team.
• Excellent problem-solving skills and attention to detail.
• Strong communication and interpersonal skills.
• Passion for innovation and a desire to push boundaries in technology.

Qualifications

• Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field.
• Relevant work experience in robotics, AI, or a related field.
• Experience with programming languages such as Python, C++, or Rust.
• Knowledge of robotics frameworks and libraries such as ROS, TensorFlow, or PyTorch.
• Experience with hardware prototyping and testing.

Skills

• Programming skills in Python, C++, or Rust.
• Experience with robotics and AI frameworks.
• Understanding of human-machine interaction and natural language processing.
• Ability to work in a fast-paced, agile environment.
• Strong analytical and problem-solving skills.

Benefits

• Competitive compensation package.
• Equity and ownership opportunities within the company.
• A supportive and inclusive workplace culture.
• Flexible work arrangements to balance personal and professional commitments.
• Continuous learning and professional development opportunities.

Pay

Compensation is competitive and commensurate with experience and qualifications.

Schedule

Our team operates on a flexible schedule to accommodate the needs of our diverse workforce.