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Staff Robotics Software Engineer at Tesla
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Stanford University
Master’s Degree, Engineering Physics/Applied Physics
January 1, 2013 – January 1, 2015
Northwestern University
Bachelor’s Degree, Mathematics, Physics
January 1, 2009 – January 1, 2012
Tesla
Staff Robotics Software Engineer
December 1, 2021 – Present
Palo Alto, California, United States
Tesla
Staff Software Engineer, Perception
August 1, 2020 – December 1, 2021
Palo Alto, California, United States
Tesla
Senior Machine Learning Engineer
July 1, 2017 – July 1, 2020
Palo Alto, California, United States
Arity
Machine Learning Engineer
February 1, 2016 – July 1, 2017
Greater Chicago Area
Stanford University
NSF Graduate Research Fellow
January 1, 2013 – January 1, 2015
Stanford, CA
Northwestern University
Undergraduate Research Assistant
January 1, 2010 – January 1, 2012
Evanston, IL
Deep Learning Nanodegree
Udacity
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
R Programming
Coursera
June 24, 2026 – Present
Graph Search, Shortest Paths, and Data Structures
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
Self-Driving Car Engineer Nanodegree
Udacity
June 24, 2026 – Present
Sequence Models
Coursera
June 24, 2026 – Present
Divide and Conquer, Sorting and Searching, and Randomized Algorithms
Coursera Course Certificates
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Neural Networks for Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily skewed towards advanced engineering, machine learning, and robotics, which are highly technical and research-intensive fields. While this demonstrates strong analytical capabilities, the target role of 'Data Analyst' is a significant pivot. The current experience does not directly align with typical data analyst responsibilities such as business intelligence, reporting, or specific domain analysis outside of engineering data. This could indicate a potential mismatch in day-to-day responsibilities and team dynamics compared to their previous roles.
Soft Skills & Operational Fit
The candidate's career progression from Machine Learning Engineer to Staff Robotics Software Engineer at Tesla suggests strong problem-solving, adaptability, and the ability to handle complex technical challenges. The lack of detailed project descriptions makes it difficult to assess specific collaboration or leadership soft skills, but the staff-level roles imply a degree of operational maturity.