Similar Jobs at General Motors
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Lead the validation strategy for autonomous vehicle software, mentor team members, analyze autonomous behaviors, and develop testing strategies in this senior engineering role.
Top Skills:
C++PythonSQL
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
As a Senior UX/UI Designer, you'll design complex in-vehicle experiences, translating requirements into user-centered designs while collaborating closely with engineering and industrial design teams.
Top Skills:
Design And Prototyping ToolsFigma
2 Hours Ago
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Lead development of driver behavior models for automated driving systems, analyze driving data, and collaborate with teams on safety evaluation methods.
Top Skills:
Ci/CdDockerGitJenkinsJIRAKubernetesPythonSQLTerraform
Description
Develop and design advanced software applications for driverless technology company. Duties include: Build a highly reliable, scalable, and cost effective platform to search for impactful on-road scenarios, label data, prepare resulting dataset for model training, and close the model performance feedback loop. Explore, prototype, validate, and iterate new algorithms and models. Drive efforts to optimize, supervise and refine on-road performance for models on the
path to production. Serve as a technical leader within the department and guide current and future technology choices. Understand the business and operational impact for different technology tradeoffs and balance them effectively based on the company's need. Enable others engineers on the team to be more effective through design and code that is easy to extend and contribute into. May telecommute.
Additional Description
REQUIREMENTS: Master's degree or foreign equivalent degree in Computer Science, Electrical Engineering, Computer Engineering, Data Science, Mathematics, or a related field and Three years of work experience as a Senior Software Engineer, Machine Learning Engineer, Research Engineer, Member of Technical Staff, or a related occupation. Background, education, or experience must include:
1. Building highly scalable platforms using Python, C, or C++;
2. Knowledge of operating systems, including Linux;
3. Experience with data platforms, including Hadoop and Spark;
4. Experience with building autonomous driving software and technologies, including ROS and PyTorch;
5. Data mining techniques and tools, including SQL, NoSQL, sklearn, Pattern recognition, and anomaly detection;
6. Experience with developing and deploying machine learning systems;
7. Experience with cloud computing platforms, including AWS, Google Cloud, and Azure;
8. Software architecture and system design;
9. Knowledge of algorithms and data structures;
10. Containerization and orchestration tools, including Docker and Kubernetes;
11. Experience in continuous integration and continuous deployment (CI/CD) pipelines.
Compensation:
#LI-DNI
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
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.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
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.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Develop and design advanced software applications for driverless technology company. Duties include: Build a highly reliable, scalable, and cost effective platform to search for impactful on-road scenarios, label data, prepare resulting dataset for model training, and close the model performance feedback loop. Explore, prototype, validate, and iterate new algorithms and models. Drive efforts to optimize, supervise and refine on-road performance for models on the
path to production. Serve as a technical leader within the department and guide current and future technology choices. Understand the business and operational impact for different technology tradeoffs and balance them effectively based on the company's need. Enable others engineers on the team to be more effective through design and code that is easy to extend and contribute into. May telecommute.
Additional Description
REQUIREMENTS: Master's degree or foreign equivalent degree in Computer Science, Electrical Engineering, Computer Engineering, Data Science, Mathematics, or a related field and Three years of work experience as a Senior Software Engineer, Machine Learning Engineer, Research Engineer, Member of Technical Staff, or a related occupation. Background, education, or experience must include:
1. Building highly scalable platforms using Python, C, or C++;
2. Knowledge of operating systems, including Linux;
3. Experience with data platforms, including Hadoop and Spark;
4. Experience with building autonomous driving software and technologies, including ROS and PyTorch;
5. Data mining techniques and tools, including SQL, NoSQL, sklearn, Pattern recognition, and anomaly detection;
6. Experience with developing and deploying machine learning systems;
7. Experience with cloud computing platforms, including AWS, Google Cloud, and Azure;
8. Software architecture and system design;
9. Knowledge of algorithms and data structures;
10. Containerization and orchestration tools, including Docker and Kubernetes;
11. Experience in continuous integration and continuous deployment (CI/CD) pipelines.
Compensation:
- The expected base compensation for this role is $180,960 to $234,000 Annually.
- Actual base compensation within the identified 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.
#LI-DNI
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
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.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
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.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
General Motors Austin, Texas, USA Office
General Motors Austin IT Innovation Center Office
The spirit of boldness, creativity and ambition lives and breathes in the city of Austin, home to one of our innovation centers. Here our IT team members support GM's IT needs in developing web technologies, end-user applications, dealer and factory systems and vehicle technology.
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
