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Bayer Engineering Jobs in California (NOW HIRING)

Apple

Camera Algorithms Engineer

Cupertino, CA

$150K - $277K/yr

... Engineering, Computer Science, Math, Physics or similar field. Hands-on run time ISP algorithm development experience. ISP HW processing pipeline knowledge. Camera module optical stack and CMOS Bayer ...

Skild AI

Camera Systems Software Engineer

San Mateo, CA

$146K - $153K/yr

Collaborate closely with perception, robotics, embedded systems, electrical engineering, and ... Working knowledge of image sensors and imaging pipelines, including Bayer formats, RAW capture, YUV ...

Skild AI

Camera Systems Software Engineer

San Mateo, CA · On-site

$100K - $300K/yr

Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Robotics, Computer ... Working knowledge of image sensors and imaging pipelines, including Bayer formats, RAW capture, YUV ...

Databricks

Sr Software Engineer- CXI

Mountain View, CA · On-site

$164K - $225K/yr

Set a high engineering bar for backend code quality, system performance, and architectural ... More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian ...

Databricks

Staff Software Engineer- CXI

Mountain View, CA · On-site

$164K - $225K/yr

Set a high engineering bar for backend code quality, system performance, and architectural ... More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian ...

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Bayer Engineering information

What does a Bayer engineer do?

A Bayer Engineer typically refers to an engineering professional employed by Bayer, a global life sciences company specializing in health care and agriculture. These engineers work in various fields such as chemical, mechanical, process, or biomedical engineering, and are responsible for designing, improving, and maintaining processes and products related to pharmaceuticals, crop science, and health solutions. Their work often involves research and development, ensuring regulatory compliance, and optimizing production efficiency. Bayer Engineers collaborate with cross-functional teams to drive innovation and ensure the safety and quality of Bayer’s products.

What are the key skills and qualifications needed to thrive as a Bayer engineer?

To thrive as a Bayer Engineer, you typically need a degree in engineering (such as chemical, mechanical, or electrical), strong analytical skills, and experience in process optimization. Familiarity with industry-standard software like AutoCAD, SAP, and adherence to safety and quality regulations is commonly required, alongside certifications such as Six Sigma or Lean Manufacturing. Effective communication, teamwork, and problem-solving abilities are crucial soft skills for driving projects and collaborating across departments. These competencies ensure efficient production, innovation, and alignment with Bayer’s commitment to safety and high-quality standards.

What are some typical challenges faced by engineers working at Bayer, and how does the company support overcoming them?

Engineers at Bayer often work on complex, cross-functional projects where collaboration between research, production, and quality teams is essential. Navigating strict regulatory requirements and ensuring process optimization can be challenging. Bayer supports its engineers with comprehensive training programs, a strong emphasis on teamwork, and access to advanced technologies, helping them stay updated and effective. Additionally, the company fosters a culture of innovation and continuous improvement, providing mentorship and opportunities for professional growth.

What is the difference between Bayer Engineering vs Bayer Quality Assurance?

AspectBayer EngineeringBayer Quality Assurance
Required CredentialsEngineering degree (e.g., Mechanical, Chemical, Electrical)Quality assurance certifications (e.g., Six Sigma, QA certifications)
Work EnvironmentDesign, develop, and maintain manufacturing processes and equipmentInspect, test, and ensure product quality standards are met
Employer & Industry UsageUsed across manufacturing, R&D, and production departments in BayerUsed in quality control, compliance, and product validation teams

While Bayer Engineers focus on designing and maintaining manufacturing processes, Bayer Quality Assurance professionals ensure products meet quality standards. Both roles are essential in Bayer's production cycle but differ in their core responsibilities and certifications.

Does Bayer Engineering offer remote positions?

Bayer Engineering offers some remote positions, particularly in roles related to engineering, data analysis, and project management. However, availability varies by specific job and location, and many positions may require on-site presence or hybrid work arrangements. Candidates should review individual job postings for detailed location and remote work options.

Does Bayer Engineering pay well?

Bayer Engineering offers competitive salaries that align with industry standards for engineering roles, often supplemented by benefits such as health insurance and retirement plans. Compensation varies based on experience, education, and location, with opportunities for salary growth and skill development in a technical environment.

How to get a job in Bayer engineering?

To get a job in Bayer engineering, candidates should have relevant engineering degrees, such as chemical, mechanical, or biomedical engineering, and demonstrate experience with industry-specific tools and processes. Applying through Bayer's official careers website, preparing a tailored resume, and highlighting technical skills and certifications can improve chances. Networking and internships in the pharmaceutical or healthcare sectors also enhance opportunities.

What is Bayer Engineering's hiring process like?

The hiring process for Bayer Engineering typically involves submitting an online application, followed by phone or video interviews to assess technical skills and experience. Candidates may also undergo technical assessments or tests and participate in in-person interviews before receiving an offer.

What are popular job titles related to Bayer Engineering jobs in California?

For Bayer Engineering jobs in California, the most frequently searched job titles are:

What job categories do people searching Bayer Engineering jobs in California look for?

The top searched job categories for Bayer Engineering jobs in California are:

Bayer Engineering jobs near you
Infographic showing various Bayer Engineering job openings in California as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Sr. Manager, Field Engineering - High Tech and MFG

Databricks

San Francisco, CA • On-site

$192K - $264K/yr

Full-time

Re-posted 22 days ago

Job description

Req ID - FEQ327R499
Location: San Francisco Bay Area, CA
While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in the Western United States.
The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI. Major Enterprises in the U.S. are leveraging the Databricks Data Intelligence Platform to securely deliver AI's potential to every audience, at scale. Our Field Engineering team is hiring a dynamic Solutions Architecture leader who is not only focused on team culture but also can translate their team vision into a tangible and effective strategy in order to drive our customers' Data + AI experiences forward.
As a Field Engineering Manager, you will manage a team of Solutions Architects (SAs) for the Manufacturing and HiTech Enterprise Segment of Databricks' Field Engineering organization. You will lead a dynamic team of pre-sales professionals focusing on enterprise software, big data/analytics, data engineering, data science, and AI. You will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks' growth in the market.
The impact you will have:
  • You will hire, train, grow, and manage a bar-raising team of Solutions Architects for a company in high-growth mode.
  • Make your customers extremely successful with Databricks and provide outsized value to their businesses.
  • You will maintain a robust hiring pipeline at all times.
  • Establish relationships across the business to make your customers and team successful.
  • Partner with sales leadership to hit sales and consumption targets while ensuring customer success
  • Keep your team of SAs ahead of the technical curve. You will make sure that your team is continuously learning, maintaining advanced knowledge of the data+AI technology stack, and working to provide our customers with the most comprehensive solutions for their needs

What we look for:
  • 3+ years of experience building and leading technical pre-sales teams - hiring, onboarding, coaching, and enabling pre-sales professionals
  • 7+ years of experience in the Data + AI space with a technical product (i.e., data warehousing, big data, data science, machine learning, or AI).
  • A deep technical understanding of the impact that Data + AI can drive within various industry segments
  • Technical competence to earn the trust of Engineering talent and leadership at Databricks.
  • Trusted advisor to technical executives who guide strategic data infrastructure decisions.
  • Lead a team through best practices for technical qualification, proof of concepts, architecture discussions, and product demonstrations.
  • Experience hiring pre-sales professionals, ramping them up to be successful, promoting them into larger roles, identifying and addressing performance issues, and implementing improvement plans.
  • Create a positive team culture and help foster working relationships between Field Engineering, Sales, and other important internal partners.
  • Experience working with other teams such as Product Management, Engineering, and Customer Success.
  • Demonstrated architectural influence. Able to influence and review complex architectures, guiding your team and customers toward ideal solutions that scale.

Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Zone 1 Pay Range
$192,100-$264,175 USD
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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