Senior Full Stack Developer, Product Management - Experience Prototyping

Description

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Technical/Innovation Center in Mountain View (CA) or Warren (MI) three times per week, at minimum. This position can be located at either of these 2 locations.

Why join us?
General Motors pioneers the innovations that move and connect people to what matters. We see a world with zero crashes, zero emissions and zero congestion. As we move toward this vision, software plays an integral role as it becomes more prominent in our vehicles.

Our ambition in Software & Services Product Management is to build a world-class software development culture that is part of the company's shared vision. We are creating an elite portfolio of software-defined vehicles by tightly integrating software, hardware, and services to create complete and compelling vehicle experiences for our customers.

The Role

As a Senior Full Stack Developer for the Product Management - Experience Prototyping team, you will help define the next software experiences across mobile, infotainment and embedded platforms-both in and outside the vehicle.

Responsibilities include rapidly building functional prototypes that inform product roadmaps and requirements, enabling early validation of customer and business value. You will collaborate closely with product managers and designers to ensure that the experiences we prototype are aligned with user's needs and strategic goals.

• Design and deployprototype solutionsthat serve as experiments to gather insights and data, enabling informed decision-making across the organization.

• Providebest practice recommendationsfor software development across a wide range of technologies and platforms.

• Continuously expand your knowledge in key areas, including:

• Emerging technologies and development frameworks

• GM's vehicle development cycles and timelines

• In-vehicle and cloud-based architecture

• GM's business model and how software enables and enhances it

• Act as atechnical consultantto Product, Design, and Engineering teams, providing guidance on future product experiences.

• Embrace abreadth-over-depthapproach: this is not a production engineering role. You'll work across a wide variety of topics and technologies, focusing on rapid prototyping rather than long-term implementation or customer deployment.

• Bachelor's degree in computer science, Software Engineering, EE/CE or related field, or equivalent experience.

• 5+ years of experience as Full stack developer in the areas of mobile app development, backend development and multi-system Integration.

• Mobile App Development: Proficient in developing Android applications for multiple form factors using Jetpack components and Compose UI.

• Backend Development: Skilled in backend technologies including Node.js, Java (Spring Boot), and Python (Flask), with expertise in API design, data modeling, and service orchestration.

• Multi-System Integration: Demonstrated success in multi-system integration across mobile platforms, cloud services, IoT, and other environments.

• Collaboration: Demonstrated experience effectively collaborating with product and design teams within agile work environments.

• 8+ years of experience in Full stack development in the areas of mobile app development, backend development and multi-system Integration.

• In-Vehicle App Development: Skilled in AOSP and automotive software and hardware architecture, including in-vehicle systems, connectivity, and embedded platforms.

• Prior experience working with or withinGeneral Motors (GM), or strong familiarity with GM's technology stack, development cycles, and product ecosystem.

• Demonstrated ability tobridge technical and business domains, especially in fast-paced prototyping or innovation environments.

• Experience withembedded systems and digital circuits,e.g. using C++, Arduino or Raspberry Pi to prototype hardware solutions

• Experience collaborating withcross-functional teamsin large enterprise or automotive settings.

• An understanding of machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn is advantageous for projects involving data-driven decision-making.

• The salary range for this role is $153,200 - $234,100. 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.