ZipRecruiter

Log In

1

Software Engineer Applied Math Jobs in San Jose, CA

Golassie

Software Engineer, Applied AI

San Francisco, CA · On-site

$100 - $130/hr

Automate away repetitive work and build tooling that makes engineering faster and safer * Design schemas and pipelines for large‑scale datasets to power applied AI * Are comfortable working across ...

Socket.dev

Software Engineer (Applied AI)

Cupertino, CA · On-site

$180 - $240/hr

We are looking for a Staff level Software Engineer with experience working with the latest LLM's from OpenAI, Anthropic, Gemini, Mistral, Llama etc. 'and custom fine-tuned models i.e(Defog, Nous ...

Apple

Software Engineer (Applied AI)

Cupertino, CA

$184K - $324K/yr

We are looking for a Staff level Software Engineer with experience working with the latest LLM's from OpenAI, Anthropic, Gemini, Mistral, Llama etc. 'and custom fine-tuned models i.e(Defog, Nous ...

Apple

Software Engineer (Applied AI)

Cupertino, CA · On-site

We are looking for a Staff level Software Engineer with experience working with the latest LLM's from OpenAI, Anthropic, Gemini, Mistral, Llama etc. 'and custom fine-tuned models i.e(Defog, Nous ...

Jobzhr

Software Engineer, Applied AI

San Francisco, CA · On-site

$155 - $260/hr

We're applying principles of software engineering and data systems to scale accounting. We tackle the hard problems. Accounting does not need more duct tape. We've rethought the field--its primitives ...

Numeric

Software Engineer, Applied AI

San Francisco, CA · On-site

$155K - $260K/yr

We're applying principles of software engineering and data systems to scale accounting. We tackle the hard problems. Accounting does not need more duct tape. We've rethought the field-its primitives ...

Advantest

Applied AI Engineer

San Jose, CA · On-site

We are seeking highly skilled Applied AI Engineer (Software Engineer) to build intelligent systems ... Mathematics, Operations Research, or related field. Ideal Candidate Backgrounds * Senior ML ...

Applied Materials

Software Engineer

Santa Clara, CA · On-site

$179K - $246K/yr

Who We Are Applied Materials is a global leader in materials engineering solutions used to produce ... Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, Physics, or a related ...

previous pagenext page

Showing results 21-40

All JobsSoftware Engineer Applied Math JobsSoftware Engineer Applied Math Jobs in San Jose, CA

Software Engineer Applied Math information

See San Jose, CA salary details

$74.4K

$172.9K

$240.8K

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

As of Aug 9, 2026, the average yearly pay for software engineer applied math 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 types of projects does a software engineer applied math typically work on?

Software Engineers specializing in Applied Math are often involved in developing algorithms, simulations, and analytical software that solve complex, real-world problems in fields like finance, engineering, machine learning, or data science. Daily responsibilities may include implementing mathematical models, optimizing existing code for performance, and collaborating with cross-disciplinary teams to refine solutions. Depending on the employer, you might work on projects such as risk modeling, signal processing, optimization engines, or predictive analytics tools. This role frequently requires balancing theoretical problem solving with practical software implementation to deliver robust, scalable applications. Working closely with researchers, data scientists, and other engineers, you will contribute to innovation and technical excellence in your organization's projects.

What is a software engineer applied math?

A Software Engineer in Applied Math develops and implements mathematical models, algorithms, and simulations to solve complex problems in various domains such as finance, engineering, and data science. They use programming languages like Python, C++, or MATLAB to create efficient solutions based on numerical analysis, optimization, and machine learning. This role often involves collaborating with scientists, analysts, and engineers to enhance computational methods and improve decision-making processes.

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

To thrive as a Software Engineer Applied Math, you need a solid background in computer science, mathematical modeling, and software engineering, often supported by a relevant degree such as computer science, applied mathematics, or engineering. Expertise in programming languages (such as Python, C++, or MATLAB), experience with numerical libraries and data analysis tools, and familiarity with version control systems are typically required. Strong analytical thinking, effective problem-solving, and the ability to communicate complex technical concepts are important soft skills for this role. These skills enable you to build efficient software solutions for complex mathematical problems, drive innovation, and collaborate effectively within technical teams.

What are popular job titles related to Software Engineer Applied Math jobs in San Jose, CA? For Software Engineer Applied Math jobs in San Jose, CA, the most frequently searched job titles are:
What job categories do people searching Software Engineer Applied Math jobs in San Jose, CA look for? The top searched job categories for Software Engineer Applied Math jobs in San Jose, CA are:
What cities near San Jose, CA are hiring for Software Engineer Applied Math jobs? Cities near San Jose, CA with the most Software Engineer Applied Math job openings:
Software Engineer Applied Math jobs near you
Infographic showing various Software Engineer Applied Math job openings in San Jose, CA as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $172,896 per year, or $83.1 per hour.

Staff Software Engineer, Applied AI

SuperDial

Burlingame, CA • On-site

Full-time

Re-posted 1 hour ago

Job description

Job Summary:
SuperDial is transforming AI in healthcare by building scalable, AI-powered solutions that optimize revenue cycle management. They are seeking a Staff Software Engineer, Applied AI to build and scale backend systems for LLM applications in healthcare, focusing on architecture, APIs, and reliability in production environments.
Responsibilities:
• Backend for LLMs – Architect and implement scalable, low-latency APIs and services that wrap, orchestrate, and optimize LLMs for healthcare use cases.
• Data & Retrieval Pipelines – Build ingestion, preprocessing, and retrieval-augmented generation (RAG) pipelines to ground LLMs in clinical and revenue-cycle data.
• LLMOps & Observability – Design systems for model monitoring, evaluation, cost tracking, and guardrails, ensuring reliability and responsible use.
• Performance & Optimization – Engineer solutions for caching, batching, load balancing, and scaling LLM workloads across cloud and containerized environments.
• Security & Compliance – Implement HIPAA-ready infrastructure, data governance, and auditability for LLM-powered applications.
• Cross-Functional Collaboration – Partner with product, ML engineers, and healthcare experts to translate business workflows into robust backend systems.
• Technical Leadership – Drive end-to-end delivery of LLM backend projects, establish engineering best practices, and mentor peers in LLM system design.
Qualifications:
Required:
• 5+ years of backend or full-stack software engineering experience, with 3+ years working on ML/LLM-enabled applications.
• Strong coding skills in Python (and ideally one statically typed language such as Go, Java, or TypeScript).
• Experience with LLM integration frameworks (Hugging Face, LangChain, LlamaIndex, OpenAI APIs, Anthropic, etc.).
• Deep knowledge of distributed systems, service-oriented architecture, and building APIs at scale.
• Cloud-native expertise: AWS/GCP/Azure, Kubernetes, Docker, Terraform, etc.
• Familiarity with MLOps/LLMOps practices: CI/CD for models, evaluation harnesses, monitoring, and reproducibility.
• Excellent system design skills and the ability to align technical architecture with product goals.
Preferred:
• Experience applying LLMs in healthcare or other regulated industries (FHIR, HL7, HIPAA).
• Hands-on experience with RAG pipelines, vector databases, and structured-output orchestration.
• Background in enterprise SaaS or mission-critical platforms where uptime, latency, and scale matter.
• Knowledge of responsible AI, safety, and privacy-preserving ML techniques.
Company:
SuperDial uses voice AI to automate high-volume phone calls across healthcare, reducing admin burden and boosting operational efficiency. Founded in 2021, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.

Apply