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Remote Intersystems Cache Developer Jobs in Lake Zurich, IL

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Remote Intersystems Cache Developer information

See Lake Zurich, IL salary details

$22.4K

$100.3K

$155.7K

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 Lake Zurich, IL is $100,277.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,400.00 and $121,600.00 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 Lake Zurich, IL?

For Remote Intersystems Cache Developer jobs in Lake Zurich, IL, the most frequently searched job titles are:

What job categories do people searching Remote Intersystems Cache Developer jobs in Lake Zurich, IL look for?

The top searched job categories for Remote Intersystems Cache Developer jobs in Lake Zurich, IL are:

What cities near Lake Zurich, IL are hiring for Remote Intersystems Cache Developer jobs?

Cities near Lake Zurich, IL with the most Remote Intersystems Cache Developer job openings:

Remote Intersystems Cache Developer jobs near you
Infographic showing various Remote Intersystems Cache Developer job openings in Lake Zurich, IL as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $100,277 per year, or $48.2 per hour.

CUDA Engineer - Kernel Optimization - AI Trainer

Mercor

Chicago, IL • On-site, Remote

$144K/yr

Full-time

Posted 3 days ago

New

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: CUDA Engineering Expert
Type: Contract
Compensation: $500/hour
Location: Remote

Role Responsibilities

  • Analyze and optimize GPU kernels for performance, efficiency, and hardware utilization.
  • Use profiler metrics like L2 cache hit rate and occupancy to guide kernel improvements.
  • Review GPU kernel implementations and identify bottlenecks without deep algorithmic background.
  • Write and modify C++17, Python, and GPU programming code.
  • Apply expertise in CUDA, HIP, and shader programming to improve performance.
  • Document optimization decisions clearly, focusing on profiler metrics' utility.

Qualifications

Must-Have

  • Available to work at least 20 hrs/wk.
  • Fluent in core C++ features through C++17.
  • Working knowledge of Python and Git.
  • Fluent in one GPU programming model like CUDA or HIP.
  • 1+ year of professional or research experience with GPUs.
  • Strong understanding of GPU profiler performance metrics.

Preferred

  • Experience with CUDA, HIP, and CUDA C++ Core Libraries.
  • Experience optimizing kernels for NVIDIA Blackwell hardware.
  • Familiarity with NSight Compute.
  • Prior experience with NVIDIA, AMD, or Qualcomm.
  • Open-source contributions related to GPU kernel optimization.

Application Process (Takes 20–30 mins to complete)

  • Submit your resume or relevant technical background.
  • Qualified applicants may complete a brief technical assessment or submit additional information.

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.


#hiringmercor