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Remote Math Software Engineer Jobs in San Jose, CA

Miter

Software Engineer

San Francisco, CA · Remote

$160K - $200K/yr

Many engineering teams design processes and rules around the lowest common denominator. Not us! We ... Remote Approach: We believe the magic of Miter comes from working side by side. We also believe in ...

Natera

Principal Software Engineer

South San Francisco, CA · Remote

$162K - $217K/yr

Remote optional Job Type: Full-time About the Role We're seeking a Principal Software Engineer to join Natera's R&D team. We build the cloud infrastructure, workflow platforms, and data platforms ...

MatX

Software Engineer - Simulators

Mountain View, CA · On-site +1

$175K - $362K/yr

We are seeking highly motivated and detail-oriented software engineers to join our chip simulation ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

Hyperfine

Software Engineer, Cloud

Palo Alto, CA · On-site +1

$126K - $145K/yr

The goal of this role is to design and develop key software systems for remote setup, management ... This engineer will work closely with other software engineers, product managers, UI/UX designers ...

Stryker

Staff Software Engineer

San Jose, CA · On-site +1

$133K - $222K/yr

Work Flexibility: Hybrid or Onsite Stryker is seeking a Staff Software Engineer to join our ... Remote Procedure Calls (gRPC). Preferred: * Experience developing WPF applications using MVVM ...

TriNet

Software Engineer

Dublin, CA · On-site +1

$89K - $168K/yr

Role Overview The Software Engineer is responsible for designing, developing, testing, and ... remote hire at the company's discretion. The candidate's final salary offer will be based on the ...

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Remote Math Software Engineer information

See San Jose, CA salary details

$74.4K

$172.9K

$240.8K

How much do remote math software engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote math software engineer in San Jose, CA is $172,896.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,600.00 and $202,800.00 per year, depending on experience, location, and employer.

What does a remote math software engineer do?

A Remote Math Software Engineer develops and maintains software applications that involve complex mathematical computations, algorithms, or data analysis. They often work on projects related to scientific computing, financial modeling, machine learning, or cryptography, collaborating with other engineers and mathematicians remotely. Their role includes writing efficient code, testing mathematical functions, and ensuring the accuracy and reliability of mathematical models within software products. Communication skills and self-motivation are essential, as most interactions occur online.

How does a remote math software engineer typically collaborate with cross-functional teams to develop and implement mathematical algorithms?

Remote Math Software Engineers often work closely with product managers, data scientists, and other engineers through virtual meetings and collaborative platforms. They participate in regular stand-ups, code reviews, and brainstorming sessions to ensure that mathematical models and algorithms meet project requirements and are efficiently integrated into software products. Effective communication and documentation are key, as remote teams rely on clear specifications and feedback loops. Collaboration tools like Slack, Jira, and version control systems are commonly used to streamline teamwork and maintain project momentum.

What are the key skills and qualifications needed to thrive as a remote math software engineer?

To thrive as a Remote Math Software Engineer, you need a strong background in mathematics, computer science, and programming, typically demonstrated through a relevant degree or equivalent experience. Familiarity with programming languages such as Python, C++, or Java, and experience with mathematical libraries, version control systems like Git, and possibly cloud computing platforms are essential. Excellent problem-solving abilities, communication skills, and self-motivation are crucial soft skills for remote collaboration and tackling complex mathematical challenges. These competencies are critical for developing robust math-based software solutions and contributing effectively to distributed teams.

What are popular job titles related to Remote Math Software Engineer jobs in San Jose, CA?

For Remote Math Software Engineer jobs in San Jose, CA, the most frequently searched job titles are:

What job categories do people searching Remote Math Software Engineer jobs in San Jose, CA look for?

The top searched job categories for Remote Math Software Engineer jobs in San Jose, CA are:

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Cities near San Jose, CA with the most Remote Math Software Engineer job openings:

Remote Math Software Engineer jobs near you

Software Engineer - AI Platform (US)

genious ai

Santa Clara, CA • On-site, Remote

Full-time

PTO

Re-posted 6 days ago

Job description

About us
We intend to defy the cliches while living them. Change the world working for a scrappy, data-driven, and customer-focused startup that's revolutionizing financial workflows using AI. You will be instrumental in shaping this cutting edge AI product owning features from design to launch.
Change the world working for a scrappy, data-driven, and customer-focused startup that's revolutionizing financial operations with AI-driven workflow automation. We're looking for software engineers with solid foundations in building production systems and a strong applied AI focus. You will be responsible for building functionalities into the product directly and writing production-grade code that brings advanced AI workflows into real-world use.
As an engineer at Genios, you'll focus on making minimum loveable products powered by AI-building scalable, reliable, and user-friendly systems. You'll work across model pipelines, infrastructure, and product layers, but with a clear emphasis on applied AI delivered in production. This role requires ownership, hands-on coding, and the ability to move fast while balancing robustness and innovation.
We have full-time roles available with remote work flexibility, hybrid, or on-site based on your preferences and seniority.
Note: This remote position requires monthly travel to the Bay area or Seattle for in person team meetings.
Key Responsibilities
  • Build and scale AI/ML and GenAI pipelines from experimental workflows to production-ready systems.
  • Integrate model training, evaluation, deployment, and monitoring into product workflows
  • Deploy and manage GenAI solutions such as chatbots, RAG applications, and predictive analytics tools.
  • Operationalize LLMs and AI agents, including prompt orchestration, chaining, and fine-tuning.
  • Benchmark models, develop evaluation frameworks, and improve reliability and auditability.
  • Implement observability, monitoring, and rollback mechanisms to ensure secure, scalable deployments.
  • Work across the stack-from backend systems to product SDKs-to deliver AI features directly into user-facing applications.
  • Prototype rapidly, gather feedback, and iterate while keeping scale and maintainability in mind.
  • Own critical product components and take responsibility for delivering robust, production-grade features.
  • Collaborate cross-functionally with data scientists, product managers, and engineers to scope specifications and solve real customer problems.
  • Debug complex issues and perform root cause analysis across model pipelines, infrastructure, and product layers to ensure reliability and continuous improvement.

Qualifications
  • BS or MS in Computer Science, Statistics, or Mathematics, or equivalent experience.
  • Strong software engineering background with proven experience shipping production systems.
  • 3+ years of experience in ML/DL pipelines, deployment, and applied AI solutions.
  • Proficiency in Python or Go with frameworks like TensorFlow, PyTorch, Scikit-Learn, FastAPI, or gRPC.
  • Experience with LLM and AI frameworks such as Langchain, LlamaIndex, Hugging Face Transformers, and OpenAI API.
  • Knowledge of RAG architectures, embeddings, reranking models, and LLM-based dialogue systems.
  • Experience building and scaling backend platforms, APIs, and microservices.
  • Comfortable working full-stack, from model APIs down to user-facing integrations.
  • Have shipped AI features that users actually use; production experience over theoretical knowledge.
  • Track record of building reliable products with strong attention to detail and usability.
  • Autonomous and excited about taking ownership over major initiatives.
  • Frequent user of AI products (Cursor, Claude Code, Copilot, etc.) during the development lifecycle.

Bonus Points
  • Production experience with LLMs (APIs or custom implementations) at meaningful scale.
  • Experience building agentic systems or LLM-enabled products.
  • Familiarity with prompt tuning methodologies and frameworks like self-prompting, DSPy, or Banks.
  • Experience with performance optimization and high-scale document indexing systems.
  • Prior startup experience, grit, and ability to thrive in fast-moving environments.
  • Familiarity with databases and comfortable writing SQL queries.

Note: This remote position requires monthly travel to the Bay area or Seattle for in person team meetings.
Perks
  • Competitive Compensation
  • Unlimited PTO
  • AI Assistants for work (Coding, General Purpose, etc.)

Apply