2

Remote Intersystems Cache Developer Jobs in Sunnyvale, CA

Showing results 21-23

Remote Intersystems Cache Developer information

See Sunnyvale, CA salary details

$25.8K

$115.6K

$179.6K

How much do remote intersystems cache developer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote intersystems cache developer in Sunnyvale, CA is $115,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,700.00 and $140,300.00 per year, depending on experience, location, and employer.

What is a remote Intersystems Cache developer?

Remote Intersystems Cache Developers are software professionals who specialize in designing, developing, and maintaining applications using the InterSystems Caché database platform, all while working remotely. They leverage their expertise in Caché's object-oriented and SQL database features to build high-performance, scalable solutions, often in healthcare or financial industries. These developers collaborate with teams using online tools, troubleshoot issues, and ensure the security and efficiency of database-driven applications from remote locations.

How do remote Intersystems Cache developers typically collaborate with team members across different locations?

Remote Intersystems Cache Developers frequently work with distributed teams, using collaboration tools like Slack, Microsoft Teams, or Jira to maintain communication and project tracking. Regular virtual meetings are common for discussing requirements, code reviews, and troubleshooting. Developers often interact closely with database administrators, front-end developers, and project managers to ensure seamless integration and performance optimization. Effective remote collaboration requires strong communication skills, self-motivation, and the ability to document code and processes clearly for team visibility.

What are the key skills and qualifications needed to thrive as a remote Intersystems Cache developer?

To thrive as a Remote Intersystems Cache Developer, you need strong programming skills in ObjectScript, experience with database design, and a solid understanding of healthcare data standards, typically supported by a degree in computer science or a related field. Familiarity with Intersystems Cache/IRIS, HL7 or FHIR integrations, and certifications like Intersystems Certified Developer are highly beneficial. Excellent problem-solving abilities, attention to detail, and effective remote communication skills help developers excel in distributed teams. These skills ensure robust, secure, and efficient healthcare application development and seamless collaboration in a remote work environment.

What are popular job titles related to Remote Intersystems Cache Developer jobs in Sunnyvale, CA?

For Remote Intersystems Cache Developer jobs in Sunnyvale, CA, the most frequently searched job titles are:

What job categories do people searching Remote Intersystems Cache Developer jobs in Sunnyvale, CA look for?

The top searched job categories for Remote Intersystems Cache Developer jobs in Sunnyvale, CA are:

What cities near Sunnyvale, CA are hiring for Remote Intersystems Cache Developer jobs?

Cities near Sunnyvale, CA with the most Remote Intersystems Cache Developer job openings:

Infographic showing various Remote Intersystems Cache Developer job openings in Sunnyvale, CA as of August 2026, with employment types broken down into 82% Full Time, 4% Part Time, and 14% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $115,621 per year, or $55.6 per hour.

CPU Microarchitect, Vector and Matrix Compute

Tenstorrent

Santa Clara, CA • On-site, Remote

$100K - $500K/yr

Full-time

Posted 2 days ago

New


Job description

Tenstorrent is seeking an experienced CPU Architect/Micro-Architect to drive the next generation of high-performance RISC-V CPU Vector (RVV), Floating Point, and Matrix extensions. In this role, you will drive both the architecture and micro-architecture of compute execution units and subsystems that enable the efficient execution of modern high-performance computing (HPC), and AI inference/training workloads. Working closely with architects, software teams, silicon designers, and external IP partners, you will translate HPC/AI workload requirements into scalable CPU architectures that optimize performance, power, and area (PPA) while enabling future HPC/AI computing platforms. This role is ideal for an architect/micro-architect who enjoys working across hardware and software boundaries, defining next-generation compute architectures, and shaping how CPUs and HPC/AI workloads work together.

This role is remote, based out of North America or Spain.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

  • Passionate about designing next-generation compute architectures for AI, HPC, and large-scale datacenter systems.
  • Experienced in CPU architecture with strong knowledge of AI acceleration, matrix math, floating point, and heterogeneous compute systems.
  • Comfortable making architectural decisions across CPU cluster and subsystems.
  • Collaborative technical leader who enjoys influencing cross-functional engineering teams.
  • Curious and driven to solve challenging performance, scalability, and system architecture problems.

What We Need

  • 5+ years of experience in CPU design for high-performance computing and AI acceleration.
  • Experience designing hardware for matrix floating-point computation, AI accelerators, vector processing, tensor engines, or machine learning workloads.
  • Knowledge of CPU architecture, memory hierarchy, data movement, cache coherency, and interactions between CPUs and AI accelerators.
  • Experience defining architectural specifications and leading cross-functional teams from concept through silicon implementation.
  • Experience with RTL development with cutting edge AI frontier models.

What You Will Learn

  • Design CPU compute that efficiently accelerates modern HPC/AI workloads through optimized matrix floating-point execution and heterogeneous compute architectures.
  • Gain deep expertise in the co-design of CPUs, AI accelerators, and memory subsystems.
  • Learn how large-scale HPC, and AI workloads influence hardware architecture, data movement, and system-level optimization.
  • Work alongside world-class CPU, AI, and system architects defining the future of open RISC-V computing and AI infrastructure.
  • RTL design with cutting edge AI frontier models.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.