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Duke Jobs in California (NOW HIRING)

Warehouse Associate

Woodland, CA

$16.25 - $19.25/hr

Since our founding as an electronic waste startup from a Duke University dorm room in 2014, we have been expanding at an average rate of >66% each year. By adhering to our 3 values (One Sprout ...

New

AI Research Scientist

San Francisco, CA · On-site

$100K - $300K/yr

Top universities like Stanford, Berkeley, Penn, Duke, Carnegie Mellon, Waterloo * Unicorn, high-growth companies like Scale AI, Databricks, Stripe, Tesla, Coinbase * World class cybersecurity experts ...

AI Research Engineer

San Francisco, CA · On-site

$100K - $300K/yr

Top universities like Stanford, Berkeley, Penn, Duke, Carnegie Mellon, Waterloo * Unicorn, high-growth companies like Scale AI, Databricks, Stripe, Tesla, Coinbase * World class cybersecurity experts ...

Cogent AI Fellowship

San Francisco, CA · On-site

$100K - $300K/yr

Top universities like Stanford, Berkeley, Penn, Duke, Carnegie Mellon, Waterloo * Preeminent research labs like Deepmind and SAIL * Unicorn, high-growth companies like Scale AI, Databricks, Stripe ...

Showing results 21-40

Duke information

See California salary details

$7

$16

$26

How much do duke jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for duke in California is $16.42, according to ZipRecruiter salary data. Most workers in this role earn between $13.27 and $18.27 per hour, depending on experience, location, and employer.

What is the difference between Duke vs Data Analyst?

AspectDukeData Analyst
Required CredentialsTypically requires a bachelor's degree, often in education or related fieldsUsually requires a bachelor's degree in statistics, computer science, or related fields
Work EnvironmentEducational institutions, research centers, or training programsCorporate, finance, healthcare, or tech industries
Industry UsagePrimarily in education and training sectorsAcross various industries including finance, marketing, and healthcare
Common Search & ComparisonOften compared for career pathways in educationCompared for roles involving data analysis and interpretation

While both roles involve analysis and data handling, a Duke typically refers to a role within educational or training contexts, whereas a Data Analyst focuses on interpreting data across multiple industries. Understanding these differences helps in choosing the right career path or job search focus.

What is a duke?

A Duke is a noble title that historically ranks just below a monarch, such as a king or queen, in many European countries. In the British peerage system, a Duke is the highest rank of the nobility and is often awarded by the sovereign for loyalty or service. Dukes traditionally governed large territories or regions called duchies and played significant roles in politics and society. Today, the title is mainly ceremonial, but it still carries considerable prestige and historical significance.

What are the key skills and qualifications needed to thrive as a duke, and why are they important?

To thrive as a Duke, one typically needs a deep understanding of governance, leadership acumen, and knowledge of heritage or aristocratic protocols, often gained through education and family lineage. Familiarity with estate management systems, legal frameworks, and historical archives is essential for overseeing properties and fulfilling ceremonial duties. Strong interpersonal skills, diplomacy, and public speaking abilities set outstanding Dukes apart. These competencies are crucial for effectively managing responsibilities, maintaining tradition, and representing their title with integrity.
What are the most commonly searched types of Duke jobs in California? The most popular types of Duke jobs in California are:
Infographic showing various Duke job openings in California as of August 2026, with employment types broken down into 2% As Needed, 77% Full Time, 16% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $34,160 per year, or $16.4 per hour.

Software Engineer - Backend

Cogent Security

San Francisco, CA • On-site

$100K - $300K/yr

Full-time

Re-posted 22 days ago


Job description

About Cogent
Cogent is an Applied AI Lab building the next generation of AI agents for cybersecurity. AI has fundamentally changed how attacks happen, allowing malicious actors to operate at unprecedented speed and scale. Cogent's "AI Taskforce" assesses petabytes of enterprise data to remediate these issues before critical breaches occur.
To stay at the cutting edge, we blend frontier research with real-world execution. Alongside our core product work, Cogent Research serves as our applied AI lab, providing the research horsepower needed to make truly agentic security workflows a reality.
Since coming out of stealth, Cogent has experienced rapid growth. We partner with Fortune 500 companies to secure some of the most complex production environments in the world.
We're backed by Greylock and we've built a team with the best minds in applied AI. Our team is comprised of people from:
  • Top universities like Stanford, Berkeley, Penn, Duke, Carnegie Mellon, Waterloo
  • Unicorn, high-growth companies like Scale AI, Databricks, Stripe, Tesla, Coinbase
  • World class cybersecurity experts from Wiz, Abnormal AI, Zscaler
  • Preeminent research labs like Deepmind and SAIL

About the Role
As we work with our first design partners, Cogent is building a suite of backend services and integrations that will power our autonomous AI workers. We are looking for talented, ambitious Backend Senior and Staff Engineers who are excited to build in the Applied AI space.
What You'll Do & Achieve
  • Design and implement key backend, integration platform subsystems
    • Understand business goals, product and technology strategies and customer requirements and implement supporting backend and integration platform subsystems to achieve them
    • Adapt and evolve systems and plans to implement newly identified design partner and customer requirements
    • Adapt and evolve systems to implement non-functional requirements (compliance, security, enterprise integration etc.)
  • Laying down infrastructure foundations for growth and scalability
    • Prepare Cogent for future headcount, customer, and data growth by working with a team to design and build an infrastructure that will scale and that achieves requirements in the areas of product capabilities, non-functional needs (reliability, security, disaster recovery, etc.).
  • Help create a robust engineering culture at Cogent
    • Onboard, support and uplevel future team members
    • Participate in, provide feedback on, and iterate interview process as we scale the team up
    • Actively contribute to Engineering Excellence, Operational Excellence and Recruiting initiatives

What You'll Bring
  • 5+ years of professional experience as a hands-on engineer and technical leader, overseeing and contributing to multiple backend systems and infrastructure projects
  • Expertise in architecting, developing, and scaling backend systems, including both stateless and stateful architectures, to support high-performance, enterprise-level applications
  • Proven experience with distributed systems, microservices, and serverless architectures, ensuring robustness, scalability, and fault tolerance
  • Strong knowledge of backend programming languages such as Python, Go or similar, with a deep understanding of concurrency, memory management, and performance optimization
  • Experience with API design and implementation (RESTful and/or gRPC), integrating with frontend systems, data platforms, and third-party services
  • Solid experience with containerization, orchestration, and deployment technologies like Kubernetes, Docker, Terraform, and CI/CD pipelines in multi-cloud environments (AWS, GCP, Azure)

For California Based Applicants
The standard base salary range for this position is $100,000 - $300,000 annually. Compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
We are committed to building an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.