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Caltech Software Systems Jobs (NOW HIRING)

Aquent

Senior Software Engineer LLM Training

Campbell, CA · On-site +1

$100 - $300/hr

Mar 23, 2026 Our client, a pioneering leader at the forefront of AI research and advanced system ... Caltech), Duke University, Johns Hopkins University, Northwestern University, University of ...

Turing

Software Architect

New York, NY · On-site

$220K - $250K/yr

For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission ... Caltech, and MIT. Learn more at www.turing.com Position Overview We're looking for an Engineering ...

Asari AI

Business Development Lead

San Francisco, CA · On-site

$160K - $240K/yr

... software from C to Safe Rust. Our team has published award-winning AI research and is backed by top-tier investors including Eric Schmidt, Caltech, Jeff Dean, and JP Millon. We move fast, think from ...

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Caltech Software Systems information

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$40.5K

$117.1K

$185.5K

How much do caltech software systems jobs pay per year?

As of Jun 7, 2026, the average yearly pay for caltech software systems in the United States is $117,074.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,500.00 and $139,000.00 per year, depending on experience, location, and employer.

What is the difference between Caltech Software Systems vs Software Engineer?

AspectCaltech Software SystemsSoftware Engineer
Required CredentialsBachelor's or higher in Computer Science or related field; relevant certificationsBachelor's or higher in Computer Science or related field; relevant certifications
Work EnvironmentResearch labs, tech companies, academia, often collaborative and innovativeTech companies, startups, corporate offices, project-focused
Employer & Industry UsageResearch institutions, tech firms, academiaTechnology, finance, healthcare, various industries
Common Search & ComparisonOften compared for technical skills and project scopeCommonly compared for career growth and specialization

Caltech Software Systems and Software Engineer roles share similar educational requirements and work environments. However, Caltech Software Systems typically emphasizes research and development in academic or research settings, while Software Engineers focus on product development in industry. Both roles require strong technical skills, but their application contexts differ.

Infographic showing various Caltech Software Systems job openings in the United States as of May 2026, with employment types broken down into 20% Internship, 40% Full Time, and 40% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $117,074 per year, or $56.3 per hour.

Software Engineer, Distributed Systems (Core)

Career Renew

Atlanta, GA • Remote

$180K - $320K/yr

Full-time

Posted 14 days ago

Job description

Career Renew is recruiting for one of its clients a Software Engineer, Distributed Systems (Core) - this is a fully remote role for US/Canada candidates. Salary range: 180-320K USD yearly plus benefits plus equity. Visa sponsorship available.

Our mission is to empower everyone to take action on their data. Hundreds of companies, including Autotrader, Calendly, Cars.com, Monday.com, and PetSmart, trust us to power their growth.


We pioneered the Composable Customer Data Platform (CDP), which lets companies use their own data warehouse to collect, prepare, and activate customer data for marketing personalization and business operations. Our new AI Decisioning platform goes a step further, allowing marketers to set goals and guardrails that AI agents can then use to personalize 1:1 customer interactions. Traditionally, only technical teams had the skills to access and use customer data. With us, every business user can deliver personalized customer experiences, optimize performance marketing, and move faster by leveraging data and AI across their organization.

We are looking for a distributed systems engineer to work on the systems that power the syncing engine our customers and other engineering teams rely on. This presents an exciting challenge where you can apply your expertise in distributed systems, performance optimization, and troubleshooting to push the boundaries of what is possible and meaningfully improve our ability to move massive amounts of customer data. This role also provides a unique opportunity to work on a multi-cloud and multi-region infrastructure that supports a global customer base.


We believe in enabling our engineers to do their best work for our customers by giving them extremely high levels of ownership and autonomy. This comes in different forms: you will own and deliver projects from start to finish, you will work directly with customers to solve their hardest scaling problems, and you will have a lot of influence over what we work on as a team and company.


Some of the problems we’ll be working on include:

  • Sync Speed: Customers want to sync a lot of data to important destinations like Facebook and Snapchat, which requires us to analyze every part of our syncing process and find where we can optimize to sync data more quickly

  • Streaming Syncing: We currently sync data from sources in batch only, but envision a world where we also do syncs in real-time and support streaming sources like webhooks and queues

  • Scalability and Reliability: As part of our rapid growth, we’re always evaluating current future bottlenecks in scaling and reliability, and architecting for the next order of magnitude of growth

  • Personalization API: Our Personalization API product provides a low latency caching layer on top of data warehouses that enable customers to use their data warehouse for real-time personalization use cases with <30ms p90 response times with QPS in the millions

  • Multi-Region and Multi-Cloud: Supporting our multi-region and multi-cloud backend, including extending it to launch our platform in new regions to support data residency requirements of our global customer base

Requirements:
7+ years of experience as a software engineer with a very high level of general aptitude and work in distributed systems (Mandatory)
Have been part of high velocity startup through high stages of growth, Series B - Series E (i.e Stripe, Kong, Semgrep) (Mandatory)
Staff level minimum with a history of getting promoted quickly at the listed companies. (Mandatory)
Have graduated from a top 30 CS program such as: University of Waterloo, Harvard, Columbia, Princeton, Stanford, UC Berkeley, MIT, CMU, CalTech, Cornell, Duke, Dartmouth, Brown, IITs (Mandatory)
Extremely strong in systems design fundamentals and understanding of how large scale distributed systems behave (Mandatory)
You’ve created event collection or data streaming services that power company critical systems ( work with message queues, Kafka, SQL databases, Kubernetes, Docker) (Mandatory)
You’ve owned systems that have undergone orders of magnitude of growth and helped them scale accordingly (Mandatory)
You’ve built data sync engines that process and move terabytes of data per day in a scalable way (Nice-to-have)
Work close to the infrastructure layer of code, someone who knows how even the tools (i.e. spark, flink, kafka) are built (Nice-to-have)
Extremely strong communication skills, and are a fast learner who is excited to take on the challenges we face (Mandatory)