Sr. Staff Engineer, Modeling Infrastructure and Software Development
San Jose, California, United States · On-site
$170k–$223k/yr
Senior$875M raised
Sr. Staff Engineer, Modeling Infrastructure and Software Development Location: San Jose, CA (on-site) Ayar Labs is shattering AI data bottlenecks by moving data at the speed of light. As pioneers of co-packaged optics (C…
Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience programming in C++. 5 years of experience testing, and launching software products. 5 years of experience building and d…
Skills: C++, Distributed systems, Software architecture, Infrastructure, Data structures
Principal Compiler Software Development Engineer - AI/ML
San Jose, California, United States · On-site
Senior+$5.0B raised
ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And w…
Team Credo is looking for an Senior Design Engineer to join our mission to transform the connectivity at scale. This role will be responsible for front-end ASIC design, including RTL implementation and verification of co…
Benefits: 401(k) matching About the Role We are seeking an experienced AI Consultant / AI Solutions Engineer to design, build, and deliver production-grade AI solutions that solve real business problems for internal team…
Role Summary McAfee is seeking a visionary and customer-obsessed Director of Product Management, Web Protection & Browser Security to lead the strategy, roadmap, and execution of our Web Protections portfolio, including …
Skills: Product Management, Cybersecurity, Browser Security, Web Technologies, SaaS
Business Consultant – Digital Experience Location: San Jose, CA / San Francisco, CA – Preferred Job Type: W2 Experience: 6–9 Years Industry: Digital Experience / Marketing Technology Job Summary We are seeking a Business…
Skills: Business Consulting, Digital Experience, Product Strategy, UX Prototyping, Figma
Please Note: 1. If you are a first time user, please create your candidate login account before you apply for a job. (Click Sign In > Create Account) 2. If you already have a Candidate Account, please Sign-In before you …
Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4 and is the world's first publicly listed autonomous vehicle (AV…
New Grads 2027 - Software Engineer - Perception/Computer Vision
San Jose, California, United States · On-site
$120k–$165k/yr
Entry level$1.8B raised
Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4 and is the world's first publicly listed autonomous vehicle (AV…
Role Summary The AJO Platform Engineer manages the full lifecycle of personalized digital experiences across Adobe surfaces. This includes requirement gathering, backlog management, content authoring, campaign execution,…
Network Engineer We are seeking a skilled Network to support the implementation, operation, and maintenance of A10’s enterprise network infrastructure. This role is responsible for ensuring high availability, performance…
About ChipAgents ChipAgents is revolutionizing chip design and verification with agentic-AI workflows. Founded by experts in AI and semiconductor design, we partner with top-10 semiconductor companies, hyperscale cloud p…
Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to build and deliver outstanding digital experiences. We’re passionat…
Skills: Diffusion Models, PyTorch, Python, VLM Finetuning, Distributed Training
Principal Software Engineer - AI ADC A10 Networks is accelerating its AI‑driven innovation across the ADC and GSLB product lines. We are seeking a highly experienced Sr. Staff Engineer to be part of the development of ne…
Skills: Application Delivery Controllers, Server Load Balancing, DNS, GSLB, AI
Senior Lead AI Engineer - (Gen AI Platform Services, Agentic AI)
San Francisco, California, United States · On-site
$230k–$286k/yr
SeniorVisa sponsorship$5.5B raised
Senior Lead AI Engineer - (Gen AI Platform Services, Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leade…
San Francisco, California, United States · On-site
$126k–$240k/yr
Senior$3M raised
About Frame.io Frame.io is transforming the way creative work is carried out. Creative professionals worldwide, from independent filmmakers to groups at major brands, depend on Frame.io to collaborate effortlessly and br…
Skills: Product Management, Product Strategy, Product Roadmap, AI Product Development, Data Analysis
San Francisco, California, United States · On-site
$148k–$282k/yr
Senior$3M raised
About Frame.io Frame.io is redefining how creative work happens. Creative professionals around the world, from independent filmmakers to teams at large brands, rely on Frame.io to seamlessly collaborate and bring their s…
The Opportunity Join Adobe’s Developer Experience team in San Jose as a Software Development Engineer! This opportunity allows you to work with world-class technology and collaborate with ambitious professionals to succe…
Skills: Go, Python, Kubernetes, Cloud networking, Distributed systems
The Team At Adobe, we’re changing the world. We give people the tools to bring their ideas to life and build content that makes life more fun and work more meaningful. We give businesses and organizations the power to tr…
Skills: Product management, Growth strategy, A/B testing, Experimentation, Data analysis
Sr. Staff Engineer, Modeling Infrastructure and Software Development
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$170k–$223k/yr
Full-time
bachelor degree, postgraduate degree
Posted 33d ago
~40 hrs/week
Responsibilities
You will build and maintain the software, data, and compute infrastructure required to support complex optical link modeling and simulation. This involves managing HPC environments, designing data schemas, and creating scalable pipelines to ensure research tools are reliable and reproducible.
Requirements
Candidates must have at least 5 years of experience in software and compute infrastructure for numerical or technical modeling, with strong proficiency in Python and scientific computing stacks. A degree in a relevant technical field such as Computer Science, Physics, or Electrical Engineering is required.
Full job description
Sr. Staff Engineer, Modeling Infrastructure and Software Development
Location: San Jose, CA (on-site)
Ayar Labs is shattering AI data bottlenecks by moving data at the speed of light. As pioneers of co-packaged optics (CPO), we are using light instead of electricity to move data faster, further, and with a fraction of the energy needed to fuel the explosive growth of AI models.
Backed by industry giants like NVIDIA, AMD, Mediatek and Intel and manufactured in partnership with the world's leading semiconductor ecosystem, Ayar Labs' co-packaged optics solution is key to unleashing next-generation AI scale-up architectures.
Joining our Link Design and Architecture team, you will be the software and compute backbone behind our silicon photonics optical I/O platform. Our team models optical links end-to-end — from the physics of individual photonic devices, through the circuits and signal processing that drive them, to the statistical analyses that set product specifications and predict manufacturing yield. The team's engineers are domain experts in photonics, circuits, and signal processing who write serious numerical Python; your job is to make their code, data, and compute reliable, reproducible, and scalable.
This is a software and data infrastructure role embedded in a modeling team — it is not a web services or SaaS backend position. You won't be building the models themselves; you'll be building the compute, data, and software foundation the team's engineers rely on.
Essential Functions
Own the team's software development and compute environment: reproducible Python environments, containerized workflows, CI/CD, data standards, and versioned releases of internal modeling packages.
Operate and scale simulation and statistical analysis workloads across HPC (SLURM) and AWS environments, so link studies and yield sweeps run reliably and reproducibly at product-relevant scale.
Design and maintain the data schemas and interfaces that describe devices, measurements, model parameters, and simulation results across the modeling stack.
Build and operate data ingestion, cleaning, and curation pipelines that turn raw measurement and foundry data into trusted, queryable inputs for link analysis and yield prediction.
Partner with photonics, circuits, and signal-processing engineers to evolve research prototypes into well-tested, packaged tools that teams across the company depend on, bringing modern software practice to a research setting pragmatically, not dogmatically.
Integrate AI and agentic tooling into engineering workflows, both to accelerate the software development lifecycle and to augment the team's modeling and data analysis capabilities.
Required Qualifications
Degree in Computer Science, Physics, Electrical Engineering, Optics/Photonics, or a related field; advanced degree a plus.
5+ years building and maintaining software and compute infrastructure for numerical simulation, engineering modeling, or large-scale technical data analysis, for example in semiconductor/EDA, aerospace, a national lab, or a similar technical computing environment. Enterprise web/SaaS backend experience alone is not a fit.
Strong Python skills with the scientific stack (NumPy, SciPy, pandas, networkx, or similar), applied to numerical or data-analysis problems — not only service code.
A track record of owning a codebase used by engineers or scientists, i.e. internal tooling or open-source, through multiple release cycles.
Hands-on operation of batch compute at scale: SLURM (or an equivalent HPC scheduler) and/or AWS-based scientific compute, including environment management, containers, and CI for computational workloads.
Experience designing data schemas and APIs consumed by other engineers or scientists.
Fluency on Linux and with modern developer tooling (Git, CI, containers).
Excellent communication skills and a collaborative working style, with the ability to engage deeply with domain experts across disciplines.
Preferred Qualifications
Working knowledge of at least one of: photonic device physics, circuits, signal processing, or statistical analysis.
Contributions to open-source scientific software.
Experience with modern data management architectures (e.g., data lakehouse patterns), metadata standards, and query engines.
Hands-on experience applying AI tools and agentic workflows to engineering or data pipelines.
Proficiency in C/C++ or another compiled language used alongside Python in scientific codebases.
Prior work on compact models, SPICE-like simulators, or link/yield statistical modeling.
Salary range: $170,000 - $223,000
NOTE TO RECRUITERS: Principals only. We are not accepting resumes from recruiters for this position. Remuneration for recruiting activities is only applicable subject to a signed and executed agreement between the parties. Please don’t send candidates to Ayar Labs, and do not contact our managers.
Ayar Labs is an Equal Opportunity Employer and is strongly committed to all policies which will afford equal opportunity employment to all qualified persons without regard to age, sex, national origin, race, color, ethnicity, creed, religion, gender identity, sexual orientation, disability, veteran status, or any other characteristic protected by law. It is the policy of Ayar Labs to provide reasonable accommodation when requested by a qualified applicant or employee with a disability, unless such accommodation would cause an undue hardship. Veterans are more than welcome and encouraged to apply.
Transforming AI Architecture with Co-Packaged Optics
Industry
Computer Hardware Manufacturing
Company size
51-200 employees
Founded
2015
Headquarters
San Jose, California
LinkedIn followers
31,188
Total funding
$875M
Ayar Labs is transforming AI infrastructure by accelerating data movement. Recognizing that the complexity and size of AI models are increasing at a rate that traditional interconnect technology cannot handle, the company has developed the industry’s first co-packaged optics (CPO) solution that enables customers to maximize the compute efficiency and performance of growing AI infrastructure, while reducing costs, latency and power consumption. Based on open standards and optimized for both AI training and inference, Ayar Labs’ optical I/O solution is backed by a robust ecosystem that enables it to integrate smoothly into AI systems at scale.
Offices: 695 River Oaks Pkwy, San Jose, California 95134, US · 5909 Christie Ave, Emeryville, California 94608, US · 678 Massachusetts Ave, Suite 401, Cambridge, Massachusetts 02139, US
CPOPhotonicsand AI Scale-UpInformation TechnologySemiconductorOptical CommunicationHardwareArtificial Intelligence (AI)AI InfrastructureComputer
Based on 1749 listings with disclosed salaries, most software jobs in San Jose, CA pay between $120k–$286k per year. Individual offers vary with seniority, company size, and specialization.
How many Software jobs are open in San Jose, CA right now?
There are currently 1,934 open software positions in San Jose, CA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Software roles in San Jose, CA?
Companies currently hiring include Adobe, AMD, Google, Capital One, Cisco, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Software jobs in San Jose, CA?
Yes — 666 of the 1934 open software positions offer remote or hybrid work (117 remote, 549 hybrid).
How do I apply for Software jobs in San Jose, CA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.