Sr Software Engineer
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Recruiter screen, an optional online assessment (easy-to-medium DSA), a one-hour CodeSignal technical phone screen, then an onsite of four to six rounds: general coding, domain-specific coding, 'design Instagram'-style system design, and a hiring-manager behavioral. Senior candidates add a technical retrospective deep-diving one resume project.
Read the full Uber interview process →Description
About the role and team
Leading at Uber means setting direction in motion, not waiting for perfect conditions. As a Sr Software Engineer, you will be a technical anchor for the foundational systems that move the world - from building the next generation of orchestration platforms to architecting the stacks that power our global applications. Our mission is to make transportation as reliable as running water, and we need technical powerhouses to build the dependable, high-performance foundation that supports that vision.
This is a role for a proven, large-scale systems thinker who thrives in high-stakes environments. You will navigate the "messy" reality of complex infrastructures spanning global data centers and multiple cloud providers, supporting a diverse variety of workloads. You’ll need to make smart decisions with imperfect information and own the outcomes of global architectural choices. If you lead with clarity, build with heart, and are motivated by the challenge of peak efficiency at unparalleled scale - this is where you’ll make your mark.
Rate of Pay: $232,000 to $284,000 per Year
You will be eligible to participate in Uber's bonus program, and may be offered other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.
What you’ll do
- Develop infrastructure for autonomous-vehicle telemetry and structured data ingestion at scale by applying knowledge of Intelligent Vehicles, 3D Robot Vision, Technology of Detection and Sensors, Signal Analysis and Processing, and Web and Database Technology.
- Design and implement data pipelines and training workflows.
- Build and maintain multi-modality retrieval and ranking systems.
- Design, implement, and operate core platform services and APIs for autonomous-driving workloads.
- Optimize retrieval and modeling pipelines.
- Implement performance-critical backend components with numerical stability and throughput in distributed environments.
- May telecommute.
Basic Qualifications
- Employer will accept a Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field, and two years of experience in the job offered or in a related occupation.
- Position requires two years in:
- Intelligent Vehicles, 3D Robot Vision, and Technology of Detection and Sensors;
- Signal Analysis and Processing, and Web and Database Technology;
- Pattern Recognition, Data Analysis, Probability and Statistics, and Deep Learning;
- Multimedia Search and Recommendation, Algorithms and Data Structures, and Web Science & Engineering;
- Software Architecture and Networking;
- Algorithm Design and Linear Algebra;
- C Programming Language and Advanced Mathematics;
- Developing distributed systems or large-scale data platforms;
- Building backend software in Python, C++, or Java.