Build AI agents and infrastructure that autonomously conduct data analyses, make warehouses AI-readable, and create self-healing pipelines to 10x data team productivity at an AI company. Requires 6-8+ years in data science/analytics engineering, deep SQL and Python skills, product sense, and hands-on LLM/AI experience.

Senior/Staff Software Engineer builds end-to-end AI products for clients, spending 75% time coding and 25% with stakeholders like CTOs. Requires 8+ years experience shipping products, applying software engineering to AI systems with high ownership.

Leads pricing operations, owning end-to-end enterprise deal structuring, developing pricing strategies, and building deal desk processes. Requires 4+ years in deal desk/pricing/revops, CPQ experience, and strong cross-functional collaboration.

Senior Backend Engineer building infrastructure and systems for real-time AI agents at Giga, including analytics pipelines, hallucination detection, and browser agents. Requires 4+ years backend experience with Python, TypeScript, and cloud infrastructure; strong ownership in ambiguous, high-scale environments.

Drive technical strategy for enterprise accounts, partnering with sales to close large deals. Architect migrations to serverless AI infrastructure, lead POCs, and influence product roadmap. Requires 5+ years in solutions engineering and deep cloud/ML expertise.

Leads Strategic Account Executives in Northern California and PNW, driving revenue targets, building territory, managing enterprise sales cycles, and developing high-performance sales teams. Requires 5+ years sales leadership experience in technical SaaS sales.

Leads end-to-end data development projects connecting frontier-lab researchers, expert contributors, and engineering teams. The role combines product operations, strategy, project ownership, quality management, and process optimization in an AI-focused environment.

Build AI systems, agent harnesses, evaluation pipelines, retrieval infrastructure, crawling systems, and inference APIs that make subjective design quality measurable. The role requires experience building AI-forward products or systems, strong technical judgment, and comfort solving ambiguous startup problems.

Leads PCB, PCBA, cabling, and assembly manufacturing from hardware concept through production, coordinating engineering, operations, TPMs, suppliers, and manufacturing partners. The role requires substantial experience with NPI processes, quality controls, high-speed signal testing, supplier execution, and manufacturing data analysis.

Software engineers build and ship product features using AI coding agents, owning outcomes end-to-end across frontend, backend, and systems. Requires bachelor's in CS or equivalent, 3+ years experience or exceptional accomplishments, and strong programming in Python, TypeScript, Go, or Java.

Build observability infrastructure and AI-powered tools for OpenAI's large-scale production systems, including logging, metrics, and debugging UIs. Requires experience with distributed systems, Kubernetes, AWS, and observability tools.

Senior Support Engineer troubleshoots complex issues for OpenAI's API platform, designs monitoring and incident response processes for strategic customers, and scales operations using automation and AI. Requires 8+ years in SRE/technical operations, Bachelor's in CS, and expertise in observability and distributed systems.

Develops and scales MPI+CUDA PDE solvers and neural operators for electromagnetic simulations on GPU clusters for IC design. Requires PhD in computational physics/math, expertise in numerical methods, C++/CUDA, HPC, and neural operators for physics problems.

This role owns financial analytics, building forecasts, scenario analyses, production-grade data models, and predictive insights around revenue, retention, and unit economics. It partners with Finance, Data, and Engineering to provide trusted analysis and narratives for leadership, the board, fundraising, and strategic decisions.

Directs AI coding agents to build and scale production systems in a multimodal AI lab, setting technical direction, making high-stakes tradeoffs, and co-owning product decisions. Requires 8+ years experience, deep judgment in systems or product, and proven AI tool usage for real outcomes.

Builds backend systems for AI agent orchestration enabling scalable workflow automation across desktop and web. Owns distributed systems handling concurrency, reliability, and integration with AI models; requires backend proficiency and startup experience.

Leads advanced structural analysis, finite element modeling, and validation for UAV airframes and components. Requires 10+ years experience with FEA tools like ANSYS/NASTRAN, composites, testing, and cross-functional leadership in aerospace.

Leads end-to-end delivery of server and network platform programs for AI clusters, coordinating architects, vendors, validation, deployment, and operations. Requires 8+ years of infrastructure-focused technical program management experience and strong knowledge of server architecture, networking, and Linux fleet management.

Backend engineer leading design and implementation of Voice Agent product, building scalable services for speech processing, AI model integrations, and telephony. Requires 3+ years experience with Rust/Python and systems programming.

Owns core AI agent product lines end-to-end, from discovery to deployment. Synthesizes customer feedback into engineering requirements, aligns sales/eng teams, and drives scalable B2B SaaS solutions. Requires 3-6 YOE in PM, ideally AI/SaaS.

Builds and maintains developer/customer-facing web apps using TypeScript, React, and Next.js. Integrates auth (Auth0/RBAC), billing (Stripe), and backend services. Requires 2-5 years frontend experience, NYC-based.

Drives new vertical expansion through market sizing, pilot execution, and GTM playbook development while owning high-priority cross-functional initiatives and strategic projects for leadership. Requires 3-6 years in consulting, investing, or startups with strong analytical and execution skills.

Build and operate the cloud and edge infrastructure supporting a large IoT product fleet, including AWS resources, device management, CI/CD, observability, and automation. The role requires at least three years of infrastructure and programming experience, with AWS, Kubernetes, and IoT expertise.

Owns the server platform architecture for Cerebras AI clusters, translating runtime workloads into CPU, memory, I/O, PCIe, networking, and firmware requirements. The role requires deep Linux and x86 expertise, performance modeling, benchmarking, vendor leadership, and 8–10+ years of relevant industry experience depending on degree.

Owns and scales strategic technology partnerships with cloud providers, data platforms, and infrastructure vendors to drive NEXUS adoption. Requires 8+ years in technical partnerships (3+ in AI), cloud ecosystem knowledge, and cross-functional collaboration skills.

Build and deploy customer-specific AI solutions while supporting onboarding, integrations, and ongoing optimization. The role combines full-stack development, AI/ML application work, API integration, and direct collaboration with customers and internal teams.

Lead full-cycle recruiting for Engineering, Product, and Design roles at an AI startup. Source elite technical talent, partner with leadership on hiring plans, and deliver high-touch candidate experiences.

Build high-performance front-end and back-end features for an AI platform using React, TypeScript, and NextJS. Requires 3+ years experience, visual design sense, and US work authorization.

Founding Engineer builds full-stack Shopify app, AI video extraction pipelines, and creator tools to create commerce evidence layer from buyer videos. Requires AI-native full-stack experience, strong fundamentals, and Bay Area location.

Solutions Engineer delivers tailored demos, pilots, and solutions for federal clients using Scale's AI products, partnering with sales and engineering teams to address government use cases. Requires strong engineering background, public sector experience, and active US security clearance.

Research-driven engineer or scientist developing production-ready SLAM, localization, mapping, and sensor-fusion systems for spatial intelligence. Requires 6+ years of experience, strong probabilistic estimation and geometric vision expertise, and proficiency in Python and/or C++.

Build system-level debugging, validation, observability, and anomaly-analysis tooling for Cerebras’s AI hardware and software stack. The role requires strong C++ and Python skills, experience debugging complex hardware/software systems, and familiarity with compilers, runtimes, or high-performance computing.

Leads post-silicon bring-up, debugging, testing, and performance optimization for Cerebras Wafer Scale Engines. The role requires 7–10+ years of experience, substantial pre- and post-silicon ASIC expertise, strong programming and automation skills, and cross-functional collaboration across hardware and software teams.

Leads end-to-end customer implementations for AI insurance platform, managing kickoffs, timelines, integrations, adoption, and feedback translation to product. Requires 3+ years in implementations, strong project management, and technical fluency; onsite in SF or NYC.

Builds AI-native agents using LangChain stack to power technical support, onboarding, and customer success, driving case deflection and self-service. Requires 3+ years engineering with 1+ year production LLM systems, Python/TypeScript proficiency, and self-directed builder mindset.

Leads backend system architecture, owns high-stakes projects, and drives technical strategy for scalable AI agent infrastructure. Requires 7+ years backend experience building scalable systems with Python/Django/FastAPI.

Leads software architecture for Shield AI's XBAT program across mission, vehicle, and autonomy domains for advanced airborne systems. Translates safety/security goals into designs, drives cross-team alignment, and ensures scalability and compliance in safety-critical environments.

Designs and builds complex security systems for AI infrastructure, focusing on identity management, developer security, cloud controls, and cryptographic frameworks. Requires 8+ years experience, strong Python/systems programming, and Kubernetes security expertise.

Designs and owns enterprise GTM operating model, RevOps systems, metrics, and cadences for Scale AI's largest accounts. Partners cross-functionally to drive predictable revenue growth; requires 8-12+ years in RevOps/Sales Ops.

Designs and develops structural components for autonomous UAVs, from concept through production. Performs stress analysis, ensures manufacturability, and supports testing/integration with cross-functional teams. Requires 4+ years aircraft structural experience and CAD proficiency.

Finance expert fellow collaborates on high-impact AI projects, developing financial scenarios to test and improve generative AI in valuation, forecasting, risk assessment, and equity research. Requires 5+ years experience, advanced degree in Finance/Economics, and strong financial modeling skills.

Legal Fellow collaborates on AI projects by designing scenarios, evaluating model outputs for legal accuracy in areas like compliance and litigation, and contributing to research publications. Requires JD/LLM or law student status with expertise in legal research and analysis.

Collaborate on high-impact AI research projects, design and review deep learning models in PyTorch, analyze GPU performance, and co-author publications. Requires PhD in CS/AI/ML and hands-on expertise with Transformers, CNNs, and diffusion models.

Forward Deployed Software Engineer builds and delivers custom engineering solutions for enterprise customers, resolves technical issues, and drives product adoption through API integrations and cross-functional collaboration. Requires 1+ years software engineering experience, Python/JavaScript proficiency, and strong customer-facing skills.

Develops exceptional user interfaces for web applications using modern frontend technologies like React and Next.js, handles API integrations, and collaborates on UX design. Requires 5+ years UI engineering experience and bachelor's degree or equivalent.

Leads development of Agentic AI platforms for US government national security, owning full product lifecycle, stakeholder engagement, and ethical deployment in regulated environments. Requires 4+ years ML product experience, technical degree, and Top Secret clearance.

Builds and optimizes distributed frameworks for LLM training and inference on Scale's RLXF platform. Collaborates with ML teams to accelerate research, requiring expertise in PyTorch, CUDA, transformers, and large-scale distributed systems.

Build and scale enterprise Generative AI platform, owning large product areas across backend, frontend, LLMs, and ML models. Requires 4+ years experience, proficiency in Python/JavaScript/SQL, Kubernetes, and cloud providers.

Develops next-gen Agent RL training platform for enterprise GenAI, integrating cutting-edge research to train state-of-the-art models for complex use cases. Requires 5+ years LLM production experience, RLHF expertise, recent top publications, and advanced CS degree.

Technical Program Manager drives AI/ML solutions for Public Sector customers, triaging issues, aligning resources, and leading cross-functional teams to deliver value in computer vision and generative AI. Requires 3+ years stakeholder experience, technical background, and TS/SCI clearance.