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Home Based Algorithmic Trading Programmer Jobs in California

Framework Ventures

Staff Software Engineer

San Francisco, CA · On-site

$150 - $200/hr

Build correctness and safety with invariants, property-based testing, fuzzing, static analysis, and ... Experience in fintech, algorithmic trading, or understanding of financial primitives * Experience ...

New

Amat

AI Algorithm Developer

Santa Clara, CA · On-site

$161K - $221K/yr

... ome, or wherever you may go. Learn more about our benefits. Applied Materials is the leader in ... Document design decisions, trade-offs, and algorithmic approaches clearly * * Build surrogate ...

Framework Ventures

Applied Cryptographer

San Francisco, CA · On-site

$120 - $160/hr

... engineering stack * Clear written and verbal communication Bonus * Experience working on open-source projects * Experience building on EVM, Solana, or Cosmos * Experience in algorithmic trading or ...

New

Applied Materials

AI Algorithm Developer

Santa Clara, CA · On-site

$161K - $221K/yr

... ome, or wherever you may go. Learn more about our benefits. Applied Materials is the leader in ... Document design decisions, trade-offs, and algorithmic approaches clearly * * Build surrogate ...

Databento

Software Engineer (C++/Java)

San Francisco, CA · On-site +1

We're looking for a midlevel or senior IC to join our core engineering team. You'll be responsible ... An interest in financial data or algorithmic trading. Notice about phishing scams Be cautious of ...

Databento

Software Engineer (C++/C#)

San Francisco, CA · On-site +1

We're looking for a midlevel or senior IC to join our core engineering team. You'll be responsible ... An interest in financial data or algorithmic trading. Notice about phishing scams Be cautious of ...

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Infographic showing various Home Based Algorithmic Trading Programmer job openings in California as of July 2026, with employment types broken down into 5% Locum Tenens, 54% As Needed, 23% Full Time, 4% Part Time, 1% Contract, and 13% Nights. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution.

Software Engineer - Distributed Compute

Hudson River Trading

London, CA • On-site

Full-time

Re-posted 28 days ago

Job description

Hudson River Trading (HRT) is one of the top algorithmic trading companies in the world. Our research cluster is the backbone of our success; it's where all of our trading strategies are generated.

We use a large, customized research environment with highly advanced CPU and GPU compute, storage, and networking technology. Our team thinks about the entire software stack, from the user-level API to optimizing performance out of low-level caching. We deal with everything from the theoretical, like fair resource scheduling, to the concrete, like optimizing a trader's new program run-time performance. 

As a distributed compute engineer in a user-facing environment, you'll develop and improve on technical solutions that make research as easy and efficient as possible. You'll work everyday with both talented quantitative traders and software engineers across all trading teams.

Responsibilities

  • Ensure HRT's research environment is best in class, with a focus on user workloads
    • Maintain and improve resource scheduling, data caching, and job monitoring to make research as easy, fast, and efficient as possible, using both in-house and open source solutions
    • Optimize workloads at the user level to speed up user iteration speed
    • Tune workloads at the infrastructure level to make them more resource-efficient
    • Share metrics and real-time information with users to give insight into workload behavior
    • Sit down with users to understand their specific technical needs
  • Contribute individually and through leadership and coordination of the above
  • Set technical direction for the platform and take holistic ownership of the software infrastructure that supports Algo research

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, or a related field
  • Strong C++ expertise (daily use preferred)
  • Python familiarity preferred
  • Experience collaborating closely with quantitative researchers and traders to understand their needs
  • Great communication capabilities
  • Superior design, debugging, and problem solving skills
  • Knowledge of UNIX operating systems (we use Linux), system/processor performance, and network communication

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

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