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Kaiser Permanente Software Engineer Jobs (NOW HIRING)

Senior Camera Engineer

Mountain View, CA

$123K - $169K/yr

Work with perception and software teams to deploy next-generation camera system * Run hands on ... Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife ...

Senior Camera Engineer

Mountain View, CA · On-site

$160K - $195K/yr

Kodiak is also leveraging its commercial self-driving software to develop, test and deploy ... Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife ...

Kodiak is also leveraging its commercial self-driving software to develop, test and deploy ... Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife ...

We are looking for a Manufacturing Engineer to act as a technical leader in our Manufacturing group ... Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife ...

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Kaiser Permanente Software Engineer information

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How much do kaiser permanente software engineer jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for kaiser permanente software engineer in the United States is $112.98, according to ZipRecruiter salary data. Most workers in this role earn between $104.57 and $121.39 per hour, depending on experience, location, and employer.

What is a Kaiser Permanente Software Engineer job?

A Kaiser Permanente Software Engineer develops, tests, and maintains software solutions to support the healthcare organization's operations and digital services. They collaborate with cross-functional teams to design and implement secure, scalable applications that enhance patient care and improve internal processes. Engineers work with modern technologies, follow coding best practices, and ensure compliance with healthcare industry standards. Their role may also involve troubleshooting issues, optimizing system performance, and contributing to innovation in healthcare IT.

What does a typical workday look like for a Software Engineer at Kaiser Permanente?

As a Software Engineer at Kaiser Permanente, your typical workday might include collaborating with product owners, designers, and other engineers to design and implement software solutions that support healthcare operations and patient care. You’ll regularly participate in agile ceremonies such as daily stand-ups, sprint planning, and code reviews, ensuring alignment and continuous improvement within your team. Much of your time will be spent developing, testing, and troubleshooting code, as well as integrating software with existing systems. Interdisciplinary collaboration is common as you help ensure software aligns with compliance standards and meets the needs of clinicians and administrative staff.

What are the key skills and qualifications needed to thrive in the Kaiser Permanente Software Engineer position, and why are they important?

To excel as a Kaiser Permanente Software Engineer, you need strong programming skills in languages such as Java, Python, or C#, along with a bachelor's degree in computer science or related field. Familiarity with healthcare industry software, agile development tools, and experience with cloud platforms like AWS or Azure are commonly required, and certifications in relevant technologies can be advantageous. Excellent problem-solving abilities, teamwork, and effective communication are soft skills that set top candidates apart. These competencies enable you to design robust solutions, adapt to changing healthcare needs, and collaborate efficiently across interdisciplinary teams.

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Infographic showing various Kaiser Permanente Software Engineer job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $235,000 per year, or $113 per hour.
Staff Machine Learning Engineer - Data

Staff Machine Learning Engineer - Data

Kodiak

San Francisco, CA

$134K - $162K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

Kodiak is seeking Machine Learning Engineers focussing on data, pipelines and tooling to help build the intelligence that powers the Kodiak Driver. Our ML teams work across perception, prediction, planning, and AI infrastructure to turn real-world driving data into models that enable safe and scalable autonomous trucking.

In this role, you will develop the data pipeline which helps design machine learning systems that improve our vehicles' ability to understand the world, predict the behavior of other road users, and make safe driving decisions. You will collaborate closely with robotics, autonomy, and infrastructure teams to continuously improve the performance of our autonomy stack using large-scale data from our growing fleet.

This is a high-impact opportunity to work on cutting-edge AI systems operating in the real world, where every mile driven improves our models and brings autonomous trucking closer to global deployment.

In this role, you will:
  • Work with ML team to automate existing and new pipelines using AirFlow/Metaflow like orchestration frameworks.
  • Utilize different auto generated / manually labeled signals to stratify datasets to dedup data and improve the information content of ML dataset.
  • Improve and support the metrics dashboard and the underlying datastore to allow it to be scalable for growing volume of tests, performant and cost effective.
  • Be the advocate for additional tooling to simplify and improve current processes to become more powerful and automated . This includes but is not limited to dataset curation and mining, evaluation and problem discovery, labelling and triage including utilizing LLM's and offboard models.
  • Contribute to the development of scalable AI infrastructure that supports continuous learning and deployment across Kodiak's fleet.
What you'll bring:
  • MS or PhD in Computer Science, Robotics, Engineering, Mathematics, or a related technical field, and 3+ years of practical experience working with ML teams.
  • Proficiency in Python
  • Proven ability to build scalable ELT pipelines and data models using SQL and modern data lakes using automated workflow orchestration tools such as Apache Airflow / MetaFlow
  • Strong software engineering fundamentals including testing, debugging, and system design.
  • Ability to work collaboratively across teams to solve complex autonomy and robotics challenges.

What we offer:

  • Competitive compensation package including equity and annual bonuses
  • Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and  MetLife (including a medical plan with infertility benefits)
  • MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance
  • Flexible PTO, 10 paid holidays, and generous parental leave policies
  • Our office is centrally located in Mountain View, CA
  • Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging
  • Long Term Disability, Short Term Disability, Life Insurance
  • Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation) 
  • Fidelity 401(k)
  • Commuter, FSA, Dependent Care FSA, HSA
  • Various incentive programs (referral bonuses, patent bonuses, etc.)