Software Engineer

Posted 2 Days Ago
Be an Early Applicant
Austin, TX
Hybrid
1-3 Years Experience
Automotive • Big Data • Information Technology • Robotics • Software • Transportation
The Role
Opportunity within Advanced Analytics at General Motors to create, develop, and support new software systems for automotive strategies. Responsibilities include designing, developing, and deploying software applications using industry standard methodologies, collaborating with cross functional teams, maintaining infrastructure, and ensuring compliance with standards. Must have 2+ years of experience in software development with Python, PySpark, Java, SQL, and cloud environments like Azure, AWS, or GCP.
Summary Generated by Built In

Description
Hybrid: This means the successful candidate is expected to report to their primary location (Warren, MI Austin, TX, or Atlanta, GA) three times per week, at minimum.
The Role:
This is an opportunity within the Advanced Analytics to create, develop, and support new software systems that enable future automotive strategies, supporting core GM business operations within the dealer, sales and marketing and manufacturing.
For this developer role within General Motors, you are responsible for designing, developing, and deploying software applications using sound, industry standard methodologies. You will work with hands-on writing software or solutions, based on detailed requirements and system specifications. Additionally, you will work with development activities that will include:
Updating existing software and/or developing new software solutions to address a specific need or solve a particular business problem. You will contribute to all development activities in accordance with appropriate methodologies and application of a repeatable, systematic, and quantifiable approach to the development process. You will develop your skill further by working closely with more senior developers to ensure code alignment with design patterns/frameworks.
What You'll do:

  • Design, test, build data pipelines and maintain scalable and reliable infrastructure that support workflows from training to serving ML models.
  • Collaborate with cross functional teams to understand requirements (data standards, storage requirements, UI development etc.) and develop solutions to meet the needs.
  • Understanding of data gathering, inspecting, cleansing, transforming and schematization techniques, performing testing and validation of data sets.
  • Proactively engage in the identification / remediation of software issues such as code quality, pattern mismatches, and security issues related to the code or solution/configuration.
  • Knowledge of maintaining and debugging live software applications
  • Work closely with senior developers, software engineers and/or data scientists to gain additional knowledge and expertise.
  • Document software solutions and ensure that technical documentation meets GM standards.
  • Understand and maintain compliance with GM standards and industry standard methodology.
  • Holds themselves and others accountable for demonstrating GMs values and cultural behaviors.
  • Models GM behaviors and craft a winning culture.


Additional Description
Your Skills & Abilities (Required Qualifications)

  • Bachelor of Science in Electrical Engineering, Computer Engineering, Software Engineering, Computer Science, Mechanical Engineering, or related degree.
  • 2+ years of overall engineering experience
  • 2+ years of Software development experience with Python, PySpark, Java, SQL.
  • 2+ years of experience with cloud skills - Azure, AWS, or GCP cloud environments. Experience deploying with GitHub or ADO, knowledge of cloud-based data storage solutions.
  • 2+ years of experience of full lifecycle application development using standard design patterns/frameworks
  • 2+ years of experience using several programming languages, tools and/or technologies
  • 2+ years of experience working in the Software development experience with Python, Java, SQL.
  • 2+ years of experience with Azure Databricks, Docker, K8, AWS, or GCP cloud environments. Experience deploying with GitHub or ADO.
  • Proficiency in using databricks for data engineering and machine learning tasks, working with large data sets.
  • Strong analytical and problem-solving skills.


What Will Give You A Competitive Edge (Preferred Skills)

  • 2+ years of experience with Data Science, ML frameworks and libraries like TensorFlow, PyTorch, knowledge of LLMs and NLP models.
  • 2+ years of experience with CI/CD pipelines and tools, MLOps practices for deploying and monitoring ML models in production.


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 aspire to be the most inclusive company in the world. 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, no matter their background, ethnicity, preferences, or location, 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.
Diversity Information
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 workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. 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
Equal Employment Opportunity Statement (U.S.)
General Motors is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Accommodations (U.S. and Canada)
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.

Top Skills

Java
Pyspark
Python
SQL

What the Team is Saying

Eseme
Divya
Kendra
Navya
Charles
Victoria
Sri
Jeremiah Hamlin
The Company
Austin, TX
130,000 Employees
Hybrid Workplace
Year Founded: 1908

What We Do

GM is focused on advancing an all-electric future that is inclusive and accessible to all. At the heart of this strategy is the Ultium battery platform, which will power everything from mass-market to high-performance vehicles.

We embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Work With Us

We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Our “Work Appropriately” philosophy enables our employees have the flexibility to work where they can have the greatest impact to achieve their goals and for their individual success, depending on the nature of their work.

Gallery

Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery

General Motors Teams

Team
TRANSFORMING VEHICLE TECH
About our Teams

General Motors Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
Austin, TX

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account