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Remote Nasdaq Software Engineer Jobs in California

Civic Canvas

Software Engineer

Los Angeles, CA · Remote

$105K - $130K/yr

This is a remote position. We are seeking a talented Software Engineer to join our engineering team and help design, build, and support modern, scalable software solutions. This role is ideal for a ...

NEOGOV

Senior Software Engineer

El Segundo, CA · On-site +1

$184K/yr

Remote Job Type: Full-Time Remote Employment: Remote Optional Job Number: 00943 Department: Development Opening Date: 08/20/2026 About Job Title: Sr. Software Engineer Duties: The Sr. Software ...

DocuSign

Software Engineer

San Francisco, CA · On-site +1

$146K - $235K/yr

What you'll do As a Full Stack Software Engineer at Docusign, you will be responsible for owning ... Employee divides their time between in-office and remote work. Access to an office location is ...

NextDeavor Inc.

Mid Level Software Engineer

Irvine, CA · Remote

$100K - $115K/yr

Mid Level Software Engineer Full-time Remote Exclusive confidential search -- details shared with qualified applicants. Become a Key Player as a Mid Level Software Engineer You will contribute to ...

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Remote Nasdaq Software Engineer jobs near you
Infographic showing various Remote Nasdaq Software Engineer job openings in California as of August 2026, with employment types broken down into 78% Full Time, 17% Part Time, 2% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Full Stack Software Engineer - Remote

YO AI Labs

Palo Alto, CA • Remote

$80 - $120/hr

Full-time

Posted 10 days ago

Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.