1

Data Core Systems Jobs in California (NOW HIRING)

... free data structures, memory pools, and shared-memory IPC patterns โ€ข Experience with cross ... or other physical systems Company : 1X is an engineering and robotics company that develops ...

... core systems and generating complex custom reports to support data-driven decision-making. Operating independently and with minimal supervision, this individual formulates technical strategies and ...

Creative Systems Developer

Cupertino, CA ยท On-site

$62.45 - $69.15/hr

Maintain and monitor physical and cloud-based Qumulo storage systems around the world; ensure strict redundancy and backups of data, core systems, and services. * Automation: Build and maintain ...

Must be customer focused and possess: ability to identify issues, analyze data and develop ... Program management certification, a plus About Core Systems Core Systems is a global leader in ...

Program Manager

Poway, CA ยท On-site

$85K - $130K/yr

Must be customer focused and possess: ability to identify issues, analyze data and develop ... Program management certification, a plus About Core Systems Core Systems is a global leader in ...

Program Manager

Poway, CA ยท On-site

$85K - $130K/yr

Must be customer focused and possess: ability to identify issues, analyze data and develop ... Program management certification, a plus About Core Systems Core Systems is a global leader in ...

Product Design Engineer - Core Systems

Cupertino, CA ยท On-site

$159K - $191K/yr

... FAI data Experience working with electrical engineers to layout and build custom PCBs/FPCs Experience owning parts at various production stages and a history of engaging with vendors to yield ...

next page

Showing results 1-20

Data Core Systems information

See California salary details

$45.4K

$110.5K

$194.4K

How much do data core systems jobs pay per year?

As of Jul 18, 2026, the average yearly pay for data core systems in California is $110,529.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,600.00 and $134,200.00 per year, depending on experience, location, and employer.

What is the difference between Data Core Systems vs Data Analyst?

AspectData Core SystemsData Analyst
Required CredentialsBachelor's in Computer Science, Data Management certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentIT departments, data infrastructure teamsBusiness units, analytics teams
Employer & Industry UsageTech companies, data-driven organizationsFinance, marketing, healthcare sectors

Data Core Systems professionals focus on managing and maintaining data infrastructure, ensuring data integrity and system performance. Data Analysts interpret data to generate insights and support decision-making. While both roles work with data, Data Core Systems specialists handle the technical backend, whereas Data Analysts focus on analysis and reporting.

What are Data Core Systems?

Data Core Systems refer to the foundational software and hardware infrastructure responsible for managing, storing, and processing large volumes of data within an organization. These systems ensure data is accessible, secure, and efficiently handled for various business operations and analytics. They often include databases, data warehouses, storage solutions, and data management tools, forming the backbone of enterprise data operations. Data Core Systems play a crucial role in enabling data-driven decision-making and supporting digital transformation initiatives.

What are some common challenges faced by professionals working in Data Core Systems roles, and how are they typically addressed?

Professionals in Data Core Systems often encounter challenges such as ensuring data integrity across complex, large-scale databases and coordinating with multiple teams to implement system updates without disrupting ongoing operations. Addressing these challenges usually involves robust change management processes, regular system audits, and close collaboration with software engineers, database administrators, and security teams. Staying current with evolving database technologies and adopting automated monitoring tools also help maintain optimal system performance and reliability. Open communication and thorough documentation are key practices for minimizing errors and streamlining troubleshooting.

What are the key skills and qualifications needed to thrive as a Data Core Systems Specialist, and why are they important?

To thrive as a Data Core Systems Specialist, you need strong expertise in database management, data architecture, and systems integration, typically supported by a degree in computer science or a related field. Familiarity with SQL, cloud platforms (like AWS or Azure), and data warehousing tools, along with relevant certifications (such as AWS Certified Data Analytics or Microsoft Certified: Azure Data Engineer), is often required. Analytical thinking, problem-solving, and effective communication are vital soft skills for collaborating with cross-functional teams and addressing complex data challenges. These competencies are crucial for ensuring the reliability, scalability, and security of organizational data infrastructure.
What job categories do people searching Data Core Systems jobs in California look for? The top searched job categories for Data Core Systems jobs in California are:
Infographic showing various Data Core Systems job openings in California as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $110,529 per year, or $53.1 per hour.

Software Engineer - Core Systems

1X Technologies AS

San Carlos, CA โ€ข On-site

$200K - $280K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

About 1X
We're building humanoid robots that work in home - doing the chores, handling the tasks, and giving people their time back. Simple, but it's not.
To do this right, we have to solve robotics, AI, manufacturing - at the same time, at scale, in a form factor that has to be safe enough to live with your family. If you're inspired by this, you'll thrive here. We've been at this since 2014 and we're at the point where the hard problems are behind us and the hard work is in front of us.
NEO is our flagship - a home robot designed to move, learn, and operate in the real world alongside real people. We're not demoing it - we're shipping it. We're excited to meet you, if this excites you.
If you've spent your career working on problems that matter and want to see them actually reach the world - this is that moment. We're scaling, we're hiring with intention, and we need people who want to build something that will genuinely change how humans spend their time - safely creating abundance for all.
About the Team
The Foundations team builds and owns the core C++ infrastructure that NEO's entire stack runs on-sensor pipelines, motor control interfaces, inter-process communication, and the foundational libraries that ship on every robot. Our code executes thousands of times per second on hardware moving through the real world, and its correctness and performance directly determines what every other team can build and ship. If you want to work on the systems layer that makes physical AI possible at scale, this is that team.
Your Charter
Own the foundational C++ infrastructure that NEO's brain and nervous system depend on ensuring it is fast, deterministic, and reliable as we scale from prototypes to thousands of robots in homes and warehouses. This is critical-path work: the latency, correctness, and maintainability of sensor pipelines, motor control loops, and IPC layers directly determines what the perception, planning, and controls teams can ship. Every clean interface introduced, every regression caught, and every millisecond saved here multiplies across every robot we deploy.
Key Outcomes
  • Own and continuously improve real-time C++ infrastructure: sensor pipelines, motor control interfaces, deterministic scheduling such that dependent teams can build on it without hitting foundational performance or reliability blockers
  • Establish performance as a measurable standard: deliver benchmarking, flamegraph tooling, and regression tracking that catches latency or throughput drift before it reaches production
  • Build the IPC and serialization layer connecting perception, planning, and actuation: lock-free queues, memory pools, shared-memory buffers with clean interfaces that other engineers trust and build on
  • Ship foundational libraries that run reliably on thousands of robots in homes and warehouses, not just prototypes in the lab

Key Competencies
  • Thinks in cycles, cache lines, and budgets designing systems around latency, memory, and bandwidth constraints and can explain exactly where time and memory go under load
  • Deep Linux and systems fluency debugging across toolchain, ABI, kernel interfaces, and cross-compilation; uses profiling, tracing, and assembly inspection as everyday tools, not last resorts
  • Interface-first thinker writing code with clear contracts, minimal dependencies, and obvious correctness that other engineers reach for when building higher-level systems
  • Reliability-oriented under pressure shipping real-time systems where failure has physical consequences, and treats deterministic behavior and clean failure modes as engineering requirements, not afterthoughts

Minimum Requirements
  • 5+ years shipping production C++ in performance-critical systems: robotics, autonomous vehicles, HFT, game engines, OS/runtime, compilers, or HPC
  • Demonstrated ability to profile, benchmark, and debug at the systems level: flamegraphs, perf counters, assembly inspection, and Linux kernel interfaces
  • Proven track record of writing systems code other engineers build on clean interfaces, minimal dependencies, deterministic behavior under load

Preferred Skills
  • Experience with real-time or safety-critical systems where latency guarantees and failure modes have physical consequences
  • Familiarity with lock-free data structures, memory pools, and shared-memory IPC patterns
  • Experience with cross-compilation toolchains and embedded Linux targets
  • Background in robotics, autonomous vehicles, or other physical systems

What does a successful 1X Team Member look like
Team members at 1X who thrive here are builders. They move fast, own their work completely, and treat time like it's the one thing you can't get back - because it is. They say what they mean, finish what they start, and hold themselves to a standard before anyone has to ask. We push each other to be better, and we do it with honesty and respect. =
Compensation Range
$200,000 - $280,000 + Equity
Benefits
  • Comprehensive medical, dental, and vision coverage
  • Generous paid time off, company holidays, and parental leave
  • 401(k) plan with company match (100% on the first 3% of contributions, 50% on the next 2%)
  • Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA) options
  • Commuter benefits (transit and parking)
  • Short-term and long-term disability, and life insurance
  • Employee Assistance Program (EAP) for mental health, financial, and personal support
  • Onsite snacks and catered lunches

Equal Opportunity Employer
1X is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, ancestry, citizenship, age, marital status, medical condition, genetic information, disability, military or veteran status, justice system impact, or any other characteristic protected under applicable federal, state, or local law.