Research Engineer- Computer Vision

AECOM; Sunnyvale (CA); On-site; USD 150,000 - 168,000; Full time

Job summary

A leading company is seeking an experienced research engineer to join their AI systems engineering team. The role focuses on designing machine learning systems for ADAS, integrating them into production, and optimizing models for embedded platforms. The ideal candidate will possess a master’s degree, relevant industry experience, and proficiency in AI frameworks.

Benefits

Premium health coverage

401(k) with generous matching

Paid time off

Parental leave

Life and disability protection

Qualifications

• Master’s degree in software engineering, computer science, or related field.
• 1+ years of professional software development experience.
• Experience implementing deep learning and computer vision algorithms.

Responsibilities

• Work with cross-functional teams to integrate models into ADAS systems.
• Write and test code to build machine learning pipelines.
• Research and stay updated with ADAS techniques.

Skills

Problem-solving

Attention to detail

Effective communication

Collaboration

Education

Master’s degree in software engineering or computer science

PhD in software engineering or computer science

Tools

AI frameworks and libraries

Job description

**Company Description**

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 90 billion Euro in annual 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, enterprise AI, health care, smart home and building, and manufacturing domains.

Our AI systems engineering team is looking for an experienced research 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.

**We Are Bosch.**

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.

Let’s grow together, enjoy more, and inspire each other. **Work #LikeABosch**

+ **Reinvent yourself:** At Bosch, you will evolve.

+ **Discover new directions:** At Bosch, you will find your place.

+ **Balance your life:** At Bosch, your job matches your lifestyle.

+ **Celebrate success:** At Bosch, we celebrate you.

+ **Be yourself:** At Bosch, we value values.

+ **Shape tomorrow:** At Bosch, you change lives.

**Job Description**

+ Work closely with cross-functional teams, including software engineers, research scientists, and hardware engineers, to integrate models into ADAS systems

+ Communicate with various stakeholders to identify requirements for machine learning solutions

+ Write and test code to build machine learning pipelines and integrate models into production systems

+ Develop and deploy AI models for ADAS with advanced 3D perception and mapping

+ Design and conduct experiments to train and validate models using large-scale datasets

+ Optimize models for real-time performance on embedded automotive platforms

+ Research and stay up-to-date with cutting-edge ADAS techniques and industry advancements

**Qualifications**

**Basic Qualifications:**

+ Master’s degree in software engineering, computer science, or related field

+ 1+ years of professional software development experience with hands-on experience using AI frameworks and libraries

+ Industry experience working on high-impact, customer-facing products or applications

+ Experience implementing deep learning and computer vision algorithms into production systems

+ Excellent problem-solving skills and attention to detail

+ Effective communication and collaboration skills

Preferred Qualifications:

+ PhD in software engineering, computer science, or related field

+ 3+ years of professional software development experience working on a machine learning product in the automotive domain

+ Experience with embedded systems and real-time processing

+ Academic background in 3D geometry and statistics

**Additional Information**

We offer a competitive base salary for this position with a range in US-California of --$150,000 - $168,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc.

Your well-being matters at Bosch! We offer a a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. Your Recruiter can share more details for this position during the interview process.

Learn more about our full benefits offerings by visiting: https://www.myboschbenefits.com/public/welcome .

**Equal Opportunity Employer, including disability / veterans.**

**_\#LI-JM1_**

_*Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date._