AI Software Engineer, Hardware Systems jobs in United States
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Pairwise · 1 day ago

AI Software Engineer, Hardware Systems

positionSunnyvale, CA
timeFull-time
remoteOnsite
seniorityEntry, Mid Level
date2+ years exp

Pairwise is a technology company focused on enabling the next generation of technical talent. The AI Software Engineer role involves designing and shipping production LLM-powered systems to assist hardware teams throughout the design, prototyping, validation, and operational phases.

Artificial Intelligence (AI)ConsultingEnterprise SoftwareHuman ResourcesInformation TechnologyProfessional ServicesSoftware
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H1B Sponsor Likelynote

Responsibilities

Integrate AI solutions seamlessly with existing electronic and engineering infrastructures, ensuring reliability and performance
Deploy and fine-tune domain-specific AI models, particularly LLM-powered architectures, in cloud environments to enhance operational efficiency and insights
Ship to cloud: containerize services, automate CI/CD, provision runtime/inference services, and operate them with basic observability and cost controls
Leverage LangChain/LangGraph and/or LlamaIndex to build agentic workflows, tools, and routers; evaluate models and prompts with repeatable harnesses
Stand up and tune vector/hybrid search with appropriate metadata, hybrid scoring, and guardrails
Collaborate with electrical/RF/firmware teams; translate problem statements into AI features, validate with real datasets and on‑bench workflows

Qualification

PythonLLM-based applicationsCloud deploymentHardware literacyRAG experienceLangChain/LangGraphMLOps/DevOpsFastAPI/FlaskLinuxGitDockerECAD/EDA toolsWireless/RF fundamentals

Required

2–3+ years of professional software engineering; 1+ years building and deploying LLM‑based apps in production or serious pilots
Strong Python; experience shipping services (FastAPI/Flask), writing clean APIs, and working in Linux/Git/Docker
Hands‑on RAG experience (indexing/embedding, retrieval, reranking, evaluation) and one or more vector stores
Practical use of LangChain/LangGraph and/or LlamaIndex for orchestration and data frameworks
Cloud familiarity (AWS/GCP/Azure) for deploying model‑backed services and data infra
Hardware literacy: can read schematics/PCBs, reason about components/BOM, and converse fluently about electronics; exposure to at least one of RF/wireless/PCB bring‑up/test

Preferred

MS in Electrical Engineering, Computer Engineering, Computer Science, or related
Experience across ECAD/EDA and hardware workflows (Altium/KiCad; Cadence Allegro/OrCAD or Virtuoso; Siemens Xpedition; Synopsys/Cadence EDA)
Wireless/RF background (e.g., BLE/Wi‑Fi/LoRa/5G fundamentals; link budgets, S‑parameters, impedance, SDR)
LLM depth: agent/tool use, function‑calling/routing, evaluation frameworks (e.g., LangSmith/Ragas/DeepEval), prompting at scale, caching/cost controls, LoRA/fine‑tuning, multimodal (text+image/OCR)
MLOps/DevOps: Kubernetes/KServe, Terraform, metrics/logging/tracing, secrets management; experience operating inference stacks (e.g., vLLM/TensorRT‑LLM, OpenAI/Anthropic/Azure/Open‑source models)

Benefits

Premium PPO and HMO medical insurance coverage
Dental
Vision
FSA
Life insurance
Short/long-term disability insurance
Company-matched 401k plan
Generous PTO policy

Company

Pairwise

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Future-Ready Tech Services: Powered by People, Optimized by AI
dateFounded in 2023
location
Los Angeles, California, USA
people-size11-50 employees
web-link
https://pairwise.ai

H1B Sponsorship

Pairwise has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)

Funding

Current Stage
Early Stage
Company data provided by crunchbase