Overview
Remote
USD 180,960.00 - 234,000.00 per year
Full Time
Skills
Training
Management
Computer Science
Electrical Engineering
Computer Engineering
Data Science
Mathematics
Research
Python
C
C++
Operating Systems
Linux
Apache Hadoop
Apache Spark
ROS
PyTorch
Data Mining
SQL
NoSQL
scikit-learn
Pattern Recognition
Machine Learning (ML)
Cloud Computing
Amazon Web Services
Google Cloud
Google Cloud Platform
Microsoft Azure
Software Architecture
Systems Design
Algorithms
Data Structure
Orchestration
Docker
Kubernetes
Continuous Integration and Development
Continuous Integration
Continuous Delivery
FOCUS
SAP BASIS
Recruiting
Screening
Job Details
Job 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 Job 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.
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 or call us at . 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 Job 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.
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 or call us at . 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.