What are the responsibilities and job description for the Engineering Manager, Autonomy & Robotics position at Beacon AI?
About Beacon AI
Beacon AI is developing AI pilot assistant technology to transform aviation, flight safety, operational efficiency, and pilot capabilities. We are on a mission to leverage the power of artificial intelligence and advanced data analytics to revolutionize the aviation industry. Join us to be at the cutting edge of technological innovation for the second century of aviation.
Role Overview
Beacon AI is seeking an experienced, hands-on Engineering Manager to lead the team responsible for Murdock, our AI-powered pilot assistant platform. In this role, you’ll work closely with our VP of Engineering to guide a talented team focused on edge compute work and AI, including Route / Path Planning, Machine Learning, Robotics, Tracking, Prediction, and Systems Engineering. We are looking for a highly technical, detail-oriented individual who is comfortable balancing hands-on individual contributor work with managing and growing a team of exceptional engineers.
What You'll Do
Team Leadership : Lead and manage the Murdock engineering team, providing guidance, mentorship, and active technical support to ensure the team operates at its best.
Hands-on Coding & Technical Contribution : Serve as a highly technical contributor, engaging directly in coding, building, and troubleshooting alongside the team.
Project Management : Plan, execute, and deliver engineering projects related to Murdock, ensuring timely delivery within scope and budget.
Vision and Strategy : Define the technical direction and align team goals with Murdock’s roadmap, translating strategic objectives into achievable milestones.
Collaboration : Work with customers to understand their needs and align engineering efforts with business objectives and user requirements.
Code Quality : Uphold high engineering standards by driving best practices for code quality, security, testing, and continuous integration.
Innovation : Identify and adopt cutting-edge technologies and methodologies to improve engineering processes and product performance.
System Reliability & Performance : Continuously monitor and enhance Murdock’s system performance and reliability.
Recruitment & Team Growth : Take ownership of hiring, onboarding, and developing top-tier engineering talent, setting a high engineering bar.
Product Sense : Leverage strong product instincts to ensure Murdock delivers exceptional value to users, particularly in iOS and web interfaces.
Customer Deliveries : Manage the execution of customer-facing deliverables, ensuring seamless integration and impactful outcomes.
What Will Make You Successful
Proven Engineering Experience : 6-10 years of technical experience and 1-3 years of experience managing and leading medium-sized teams.
Highly Technical : Recent experience as an individual contributor and a demonstrated ability to dive into technical details, particularly in autonomous or robotic systems.
Leadership Abilities : Proven ability to motivate, guide, and build high-performing engineering teams, emphasizing people and performance management.
Execution-Oriented : A hands-on, output-driven leader capable of managing the details and execution of team and customer deliverables.
Communication Skills : Exceptional communication and collaboration skills to align team efforts with organizational goals and inform leadership effectively.
Agility and Adaptability : Experience working in fast-paced environments with agile methodologies and scaling processes in a growing company.
Product Experience : Great product sense, particularly in iOS and web platforms, with a strong intuition for building impactful solutions.
End-to-End Ownership : Excited to lead initiatives from ideation to market launch, with a proven track record of driving technical projects to successful outcomes.
System Design : Expertise in building robust, scalable systems, particularly in ML training pipelines, distributed systems, and performance optimization.
Bonus Points
AI Expertise : Experience in natural language processing, probabilistic decision-making, and generative AI, including pretraining foundation models, fine-tuning, and model distillation.
Cloud Experience : Familiarity with distributed systems and operating large-scale infrastructure on cloud platforms.
Product Launch : Experience taking a product to market, including customer delivery and deployment.
ML Infrastructure : Background in building and maintaining ML training pipelines at scale, with a focus on efficiency and speed.
Join Beacon AI to be at the forefront of innovation, driving the transformation of aviation technology and making a tangible impact on the future of flight.
This is a hybrid role and requires working from our San Carlos, CA office at least three days a week, with the option to work remotely the remaining days.
Perks & Benefits for Full-Time Employees :
Comprehensive Healthcare Coverage : Enjoy peace of mind with our generous health benefits, with 80% of medical costs covered by the company for the employee and 25% for their dependents.
Paid Time Off : Recharge and relax with 3 weeks of paid vacation, in addition to 14 company-paid holidays each year.
Connectivity Stipend : Stay connected with our cell phone benefit, ensuring you have the tools you need to excel in your role.
Health and Wellness Allowance : Use this towards a gym membership or subscription to a meditation app, empowering you to prioritize self-care and maintain a healthy lifestyle.
Financial Planning : Prepare for the future with our 401(k) program. While we currently do not offer matching, we are committed to enhancing this benefit in the future.
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