Software Engineer, Metrics Frameworks

General Motors
Mountain View, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 189K

Job location

Mountain View, United States of America

Tech stack

Artificial Intelligence
Automation of Tests
Unit Testing
Bash
Google BigQuery
C++
Software Quality
Code Review
Computer Engineering
Data Integrity
Data Mining
Data Systems
Software Debugging
Django
Python
Online Analytical Processing
Performance Tuning
TensorFlow
Data Ingestion
React
Build Management
Information Technology
Performance Monitor
Data Management
NestJS
Data Pipelines
Databricks

Job description

As a Software Engineer on the Metrics Frameworks team, you will lead the development of tooling to m onitor and improve our pipeline s ' data quality . These pipelines support road event monitoring, data mining and training, and s imulation metrics . We are seeking an experienced software/data engineer to build telemetry, data quality inspection tooling, dashboards , and alerting that e stablish guardrails on data quality (e.g., delay, accuracy, completeness). Your work will increase confidence in our data and downstream metrics for internal customers . These metrics will support and accelerate feature design, prioritization, and development, as well as evaluate the impact of newly released features .

About the Organization: The Metrics Frameworks team falls within t he Simulation, Evaluation, and Data organization , which is dedicated to advancing the development of autonomous vehicles through c utting-edge simulation technologies. The Metrics Frameworks team focuses on creating, maintaining , and evolving the analyti cs framework that supports GM's goal of safe, high-performing, and scalable driverless technology. The team delivers robust and scalable tools that facilitate data-driven dec ision-maki ng throughout the AV feature development lifecycle. We collaborate closely with Simulation Evaluation, Embodied AI, and System and Test Engineering teams , enhanc ing productivity across the organization by developing automation tools and shared libraries . We are accountable for the performance, reliability, and scalability OKRs of the analytics framework. This includ es, but is not limited to : developing customized analytics wor kflows ; improving operational telemetry and dashboards to track relevant KPIs for prioritization ; and identifying , designing, and implementing solutions to achi eve key res ults.

What You'll Do

  • Lead the design, implementation, and roadmap development for tooling that monitors data quality from various sources (simulation, road, etc.) and empowers users to debug data issues and build quantitative analysis pipelines .

  • Accelerate the team's effectiveness by designing and implementing scalable automation tools for inspecting data ingestion , processing, inspection, debu gging, and performance monitoring.

  • Build and optimize data processing pipelines to handle large volumes of testing data , enabling low-latency insights for AV testing performance.

  • Collaborate with other frameworks and data infra teams to build and deploy tools that improve developer productivity and data reliability .

  • Work closely with autonomous vehicle engineering teams to enable rapid iteration, model feedback, and metrics-driven decision-making.

  • Maintain a high technical bar for code quality and system design through architectural and code reviews.

Requirements

  • Experience with writing Python in a production environment (unit testing, code review, algorithm performance and tradeoffs, etc.)

  • Experience with OLAP databases and SQL related technologies ( e.g., Big Query, Databricks, DuckDB , etc )

  • Experience with d ata orchestration and transformation tools like Air f low , DBT, etc

  • Experience developing scalable software and data solutions used by many developers and stakeholders and capable of processing peta bytes of data

  • Experience with time-series data analysis and online performance monitoring tools

  • Experience developing automation scripts (Python and Bash scripts)

  • BS in Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, or Aerospace Engineering

  • 5 + years of industry experience

  • Strong organizational and communication skills

What Will Give You A Competitive Edge

  • Familiarity with ROS, Python bindings for C++, and plotting/visualization libraries

  • Experience working in the Autonomous Vehicle or Robotics industry

  • Experience with full-stack languages and frameworks, such as Nest.js, React, Django, etc.

  • Knowledge of machine learning frameworks and their application in testing automation and metrics generation .

  • Experience building high performance framework / infrastructure and performance optimization in C++

  • Experience working within a monorepo and using Bazel

Benefits & conditions

  • The salary range for this role is $123,200 and $189,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance., * GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

About the company

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team., General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

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