SLAM Software Engineer, Tesla Bot

Key Skills

AI Robotic systems, Algorithms, C Programming, C++, C++11 Programming, Computer Vision (CV), Deep Learning, Git, Linear Algebra, Python Programming

Job Description

What to Expect

As a software engineer within the Tesla Bot team, you will contribute to one of the most advanced and widely-deployed computer vision stacks in the world. Along with top researchers from academia, Humanoid roboticists, and some of the most experienced autonomous vehicle engineers in the industry, you will marry cutting-edge deep learning algorithms with robust real-time software. You’ll deliver safety-critical features to hundreds of thousands of vehicle customers, or to Humanoid robots operating various useful tasks within our factories. You will develop and support a host of different projects, driven first-and-foremost by our mission to deploy the safest and most effective product in the market.

What You’ll Do

Develop state-of-the-art, online and offline state estimation algorithms by fusing information from cameras, IMUs and other sensors.

Design, validate and improve your algorithms against millions of challenging real world data sequences.

Design automatic data generation pipelines that create high quality, unbiased ground truth labels for neural network training.

Create robust sensor calibration routines that perform reliably in complex and unpredictable environments.

Collaborate with a team of exceptional individuals laser focused on bringing vehicular autonomy and Humanoid robotics to fruition.

What You’ll Bring

Experience writing production-level C/C++; experience with C++11 (and later), real-time systems, and generic programming are highly desirable.

Working knowledge of Python 3 with packages like numpy, scipy, opencv etc. Ability to quickly prototype and profile algorithms in Python.

Strong Mathematical fundamentals including Linear Algebra, Vector calculus, Probability theory, Numeric optimization. Experience implementing math effectively in software; experienced in Eigen, Ceres, Boost, etc.

Strong background in core problems in robotics, including Bayesian state estimation (e.g., MAP, MMSE, MLE), 3D reconstruction, Structure-from-Motion, Visual Odometry, Visual Inertial Odometry, Bundle Adjustment etc.,

Experience working in a Linux environment.

Working knowledge of Git: creating and merging branches, cherry-picking commits, examining the diff between two hashes. More advanced Git usage is a plus, particularly: development on feature-specific branches, squashing and rebasing commits, and breaking large changes into small, easily-digestible diffs.

Background in Computer Science, Robotics, Physics, similar field(s) of study, or equivalent practical knowledge

Compensation and Benefits

Benefits

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

• Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction
• Family-building, fertility, adoption and surrogacy benefits
• Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
• Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA
• Healthcare and Dependent Care Flexible Spending Accounts (FSA)
• LGBTQ+ care concierge services
• 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
• Company paid Basic Life, AD&D, short-term and long-term disability insurance
• Employee Assistance Program
• Sick and Vacation time (Flex time for salary positions), and Paid Holidays
• Back-up childcare and parenting support resources
• Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
• Weight Loss and Tobacco Cessation Programs
• Tesla Babies program
• Commuter benefits
• Employee discounts and perks program

Expected Compensation

$104,000 - $360,000/annual salary + cash and stock awards + benefits

Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.