Senior Product Quality Engineer

Robert Bosch Group
Plymouth
1 month ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Engineer, Data Quality and Governance(VP)

Senior Data Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

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

Picture this: You're working directly with our Project, Engineering, and Quality Management departments. You're diving deep into critical launch projects, ensuring every detail aligns with our established quality standards.Your work directly impacts the safety and quality of our upcoming and key product launches.You're making a real difference.

Here's how you'll make it happen:

  • You'll collaborate closely with project management and engineering teams.You'll be a core team member on key focus projects, directly influencing our business unit's future and performance.
  • You'll take ownership of project quality assurance plans (QAPs).You'll develop and approve these plans, setting the stage for success.
  • You'll ensure quality gates and processes are executed flawlessly.You'll oversee static analysis, code reviews, and configuration management, all according to our rigorous quality standards.
  • You'll be a trusted advisor.You'll guide and consult projects on the technical aspects of quality processes.
  • You'll analyze quality metrics and provide valuable feedback.Your insights will drive continuous improvement for project and quality management.
  • You'll play a key role in internal and customer reviews.You'll support the organization of ASPICE assessments, VDA6.3 process audits, safety reviews, FMEA reviews, and more.
  • You'll contribute to continuous learning.You'll support Lessons Learned reviews and problem-solving activities, helping us grow and improve.

You'll be more than just an employee; you'll be a key player in our success.You'll have the opportunity to make a tangible impact, learn from experienced professionals, and contribute to cutting-edge projects. If you're passionate about quality and eager to shape the future, this is your chance.

Qualifications

Minimum Qualifications:

  • Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering or Mechanical Engineering
  • 3-5 years in Automotive Industry
  • 2+ years of Quality experience
  • 1+ years of experience with product development life cycle

Preferred Qualifications:

  • Master’s Degree
  • 2+ years experience with the Bosch Quality Management System
  • Fluency in English (further language skills are an advantage)
  • Automotive field experience in brake modulation
  • Experience with software engineering and processes including familiarity with software development life cycle artifacts
  • Familiarity with software programming languages: C, C++, Java, Perl, Python, Windows and Unix shell scripts.
  • Knowledge of ASPICE, ASPICE assessor qualification

Additional Information

Indefinite U.S. work authorized individuals only. Future sponsorship for work authorization unavailable.

EEO/OFCCP: Bosch is an equal opportunity employer and makes all employment decisions on the basis of merit. Bosch is fully committed to compliance with all applicable laws providing equal employment opportunities and to providing equal employment opportunity to all associates and applicants for employment without regard to race, gender, sex, pregnancy, childbirth (or related medical conditions, including but not limited to, lactation), national origin or ancestry, religion, gender identity, sexual orientation, age, disability, veteran status, genetic information or any other characteristic protected by law.

This equal employment opportunity policy applies to all terms and conditions and aspects of employment including, but not limited to, recruitment, hiring, retention, training, placement, promotion, advancement, transfers, job assignments, layoffs, leaves of absence, termination, and compensation. Our management team is dedicated to this policy with respect to all aspects of employment.

*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.

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Jobs Careers

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Jobs

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.