Sr Software Engineer - Location & Sensors

Posted 8 Days Ago
Be an Early Applicant
San Francisco, CA, USA
In-Office
202K-224K Annually
Senior level
Logistics • Transportation • 3PL: Third Party Logistics
We reimagine the way the world moves for the better.
The Role
Develop location platform software, APIs, sensor-processing systems, geospatial capabilities, and data pipelines supporting machine learning workflows. Improve location accuracy through distributed systems, predictive modeling, and sensor fusion. Document algorithms and architectures while collaborating with engineering teams to enhance Uber’s location services.
Summary Generated by Built In
About the Role

As a Software Engineer on the Location & Sensors team, you will play a crucial role in developing Uber's Location Platform to further enhance Uber's geospatial capabilities. The Location & Sensors team is focused on improving location accuracy and sensor data processing to power various Uber products and services. You will work on projects related to location data analysis, sensor fusion, and predictive modeling. This work directly impacts the efficiency and reliability of Uber's core operations, including moving people, food, and groceries from point A to point B.

Basic Qualifications
  • A Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field. Masters preferred. 
  • 5+ years of experience in professional software development experience, developing and deploying systems in production environments
  • Knowledge of different compilation steps (and ability to fix) in languages such as Go, C, C++, or Java.
  • Excellent written and verbal communication skills, including the ability to document architectures and algorithms. 
  • Experience with Software Engineering Best Practices.
Preferred Qualifications
  • Experience with geospatial data and location-based services
  • Familiarity with sensor data processing and analysis
  • Experience with Go, Java
  • Experience with distributed systems
  • Experience with big data pipelines like Flink and Spark
What You Will Do
  • Develop and implement APIs to serve Location and Inferences
  • Collaborate with the team to improve location accuracy and sensor data processing.
  • Design and build data pipelines to support machine learning workflows.
  • Design and Develop improvements to Uber's location accuracy
  • Document novel algorithms for improving Uber's location coverage.
Responsibilities

For San Francisco, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.

About Us

Ready to Ride?

This isn't the kind of place where you follow a playbook — it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves — we'd love to hear from you.

You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.

Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Skills Required

  • Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field
  • Master’s degree in a related technical field
  • 5+ years of professional software development experience
  • Experience developing and deploying systems in production environments
  • Knowledge of compilation steps and troubleshooting in Go, C, C++, or Java
  • Excellent written and verbal communication skills
  • Ability to document architectures and algorithms
  • Experience with software engineering best practices
  • Experience with geospatial data and location-based services
  • Familiarity with sensor data processing and analysis
  • Experience with Go and Java
  • Experience with distributed systems
  • Experience with big data pipelines such as Flink and Spark

Uber Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Uber and has not been reviewed or approved by Uber.

  • Parental & Family Support — Policies provide a minimum of fully paid parental leave for all parents and financial support for fertility, adoption, and surrogacy, with added credits to ease the transition. Programs extend to family medical leave and parenting support resources, indicating depth beyond baseline offerings.
  • Healthcare Strength — Healthcare coverage is described as comprehensive across many countries, with medical, dental, vision, life, disability, and mental health benefits, plus allowances where direct plans are not available. Wellness programs and reimbursements further reinforce access to care.
  • Wellbeing & Lifestyle Benefits — Monthly ride and meal credits, free office meals/snacks, fitness stipends, onsite gyms, and wellbeing reimbursements create meaningful everyday value. Home‑office stipends, travel medical coverage, and counseling support round out lifestyle-oriented perks.

Uber Insights

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The Company
HQ: San Francisco, CA
21,000 Employees
Year Founded: 2009

What We Do

We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything. Movement is what we do. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real-time. At the incredible speed of now.

Why Work With Us

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.

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