About the position
The Bosch Research and Technology Center North America, with offices in Sunnyvale, Pittsburgh, and Cambridge, is part of the global Bosch Group, a company with over 70 billion Euro in revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) provides innovative technologies in various Bosch business fields such as energy technologies, internet technologies, circuit and advanced MEMS design, semiconductors and wireless, and artificial intelligence. As a part of the global research organization, our research department in Silicon Valley focuses on scalable and assistive AI. We develop solutions for Bosch products and services in the automated driving, advanced driver assistance systems (ADAS), robotics, manufacturing, enterprise AI, health care, smart home and building, and manufacturing domains. Our AI systems engineering team is looking for an experienced machine learning software engineer who is passionate about designing machine learning systems and building cutting edge AI software applications. Your work will help bridge the gap between research and product, bringing new innovations to Bosch business units at scale.
Responsibilities
- Work with an international team of engineers and research scientists to deliver AI applications to internal Bosch customers
- Communicate with various stakeholders to identify requirements for machine learning solutions
- Evaluate machine learning research prototypes for integration into existing production software systems
- Contribute to reference architectures and help set best practices for rapidly scaling research innovations
- Write, test, and review code, contribute to clearing technical debt, and troubleshoot issues to maintain code quality and system performance
Requirements
- Bachelors’ degree in software engineering, computer science, or related field
- 3+ years of professional software development experience with exposure to the machine learning life cycle
- Industry experience working on high-impact, customer-facing products or applications
- Exposure to architecture design of a large scale software application
- Experience implementing machine learning algorithms
Nice-to-haves
- Masters’ degree in software engineering, computer science, or related field
- 5+ years of professional software development experience working on a machine learning product
- Experience in machine learning system architecture design
- Experience integrating machine learning algorithms into production systems
- Experience working in an Agile team
- Experience working with AI researchers and/or industry experience in the manufacturing domain is a plus
Benefits
- Competitive base salary ranging from $175,000 - $200,000
- Annual corporate bonus
- Long-term incentive bonus designed to reward sustained impact and contribution over time
- Premium health coverage
- 401(k) with generous matching
- Resources for financial planning and goal setting
- Ample paid time off
- Parental leave
- Comprehensive life and disability protection
