The Role

We're looking for a hardware engineer to own the silicon-level foundations of our technology. You'll bridge the gap between hardware security features and AI workloads — building verifiable computation pipelines where we can statically derive what a GPU kernel should compute and cryptographically prove that it did. You'll work directly with silicon vendors, design attestation systems for modern accelerators, and build the tamper-proof link between a model's architecture and its execution on hardware.

What You'll Do

• Design verifiable compute pipelines that derive hardware behavior expectations from model definitions and tiling configurations, then prove execution integrity
• Build low-level software (C, C++, Rust) that interfaces with TEEs, secure enclaves, and cryptographic accelerators to attest to chip location and computation integrity
• Implement static kernel analysis tools to extract memory access patterns and computational structure from GPU kernels (Triton, CUTLASS, PTX/SASS)
• Serve as technical liaison with silicon vendors (NVIDIA, AMD, Intel) on security architectures, side-channel implications, and next-generation accelerator roadmaps

What You'll Bring

• BS, MS, or PhD in Computer Engineering, CS, or EE with a focus on computer architecture, compilers, or systems security
• Deep understanding of GPU architecture — memory hierarchies, tensor core operations, tiling strategies, and how logical tensors map to physical hardware
• Strong systems programming in C, C++, or Rust with experience interfacing with hardware security primitives
• Experience with CUDA, Triton, or CUTLASS kernel programming

Bonus

• Familiarity with MLIR/LLVM or compiled binary analysis
• Experience with hardware performance counters (Nsight Compute, CUPTI)
• Knowledge of TEEs (Intel SGX/TDX, AMD SEV)
• Interest in formal methods or layout algebra

We are open to hiring both early-career and experienced candidates. For the latter, we are open to higher compensation and more senior titles. We will also consider exceptional candidates on a part-time basis.

The Role

You'll own our prosumer product experience end-to-end — the product that a technically curious person installs, connects to their AI tools, and actually uses every day.

This is not a "build to spec" role. You'll take high-level outcomes ("a user should be able to chat with their agent and see what it did") and drive them from prototype to alpha to beta to GA, making deliberate scope and quality tradeoffs at each stage. You'll decide what to ship now, what to cut, and what to defer — then ship it, put it in front of users, and iterate.

You'll work closely with the founding team on product direction and with our architecture lead on the underlying platform. You'll inherit a large, architecturally sound monorepo that has accumulated complexity — your job is to navigate it, simplify where needed, and ship a working product without needing to rewrite everything.

What You'll Do

• Own the prosumer product experience: chat interface, tool connections (MCP), activity timeline, approvals workflow, onboarding — the full surface a user interacts with
• Drive features from prototype to production: take modules from rough monorepo state to alpha-ready, then iterate toward GA based on real user feedback
• Make product decisions: scope features, cut what doesn't matter, prioritize what does — you have product judgement, not just engineering skills
• Ship fast using AI tools: you already use AI-assisted development (Claude, Cursor, Copilot, or similar) as a core part of your workflow and understand the quality tradeoffs — when to accept AI output, when to rewrite, when it's saving you days vs. creating debt
• Run build-test-learn loops: get features in front of users quickly, gather signal, adjust — not waterfall, not endless polish, just fast informed iteration
• Work autonomously over long sessions: take a goal, break it down, execute across multiple files/systems, course-correct without waiting for direction

What You'll Bring

• 3+ years full-stack engineering, ideally with SvelteKit/Svelte and Python (FastAPI). Strong in modern frontend — you can build polished, functional interfaces, not just APIs.
• Demonstrable AI-leveraged development workflow: show us how you use AI tools to move faster. We don't care which tools — we care that you've integrated them deeply and understand when they help vs. when they hurt.
• Product instinct: you look at a feature and see "the MVP is this, cut that, defer this other thing" without needing a product manager to tell you. You've shipped things that users actually use.
• Comfort with complexity: you can navigate a large monorepo, understand dependency graphs, work with feature flags, and ship incrementally without needing everything to be clean first.
• Hands-on DevOps mindset: you're comfortable owning your code through deployment — working with containers, CI/CD pipelines, and cloud environments. Experience with Kubernetes (or similar orchestration systems) is a strong plus, especially for shipping and operating distributed services.
• Self-directed and high-agency: given "make this module alpha-ready," you figure out what that means, what's blocking it, and how to get there. You ask good questions when stuck, not permission to proceed.
• Strong communicator: you document decisions, flag risks, and write clearly. Your documentation becomes the onboarding material for the next person.

Nice to Have

• Experience with the MCP (Model Context Protocol) ecosystem — servers, clients, tool federation
• Familiarity with AI agent architectures, LLM application patterns, or conversational interfaces
• Experience shipping a prosumer or PLG product from 0 → 1
• Understanding of AI compliance and governance (EU AI Act, ISO 42001, NIST AI RMF) — relevant as we expand to enterprise surfaces
• Background in security infrastructure, trusted execution environments, or cryptographic audit systems — Lucid's deeper technical stack includes these and you'd eventually touch them
• Monorepo tooling experience (turborepo, shared packages, workspace management)

Why This Matters

AI agents are getting powerful fast. The tooling for making sure they're trustworthy, controllable, and transparent is lagging behind. We're building the product that closes that gap — starting with individuals who want to use AI agents confidently, and expanding to teams and organizations that need governance at scale.

You'd be building something you'd use yourself: an AI assistant that's actually transparent about what it does, with guardrails that protect you without getting in the way.

What We Offer

• Founding-stage equity in an AI infrastructure company at the right moment
• Direct collaboration with the founding team — your input shapes the product, not just the code
• A codebase built on solid architectural primitives (not a throwaway prototype)
• The chance to build the trust layer for AI agents before anyone else does

How to Apply

Send us:

• A link to something you shipped (product, project, open-source contribution)
• A short note on how you use AI tools in your development workflow
• Optionally: your take on what "trustworthy AI" means to you as a builder

The Role

We're looking for a DevSecOps engineer to design, build, and defend the infrastructure that underpins our attestation and verification services. Your work ensures that sovereign AI data centers operate securely within mandated jurisdictions.

This is a zero-trust, compliance-first platform role. You'll own infrastructure across cloud and on-prem environments, handle sensitive cryptographic operations, and build systems that are auditable across multiple jurisdictions — working directly with our cryptography and engineering teams.

What You'll Do

• Design and implement secure, scalable infrastructure across cloud (AWS, GCP, Azure) and on-premise data centers
• Deploy and orchestrate containerized services with security policies, network segmentation, and secrets management for cryptographic operations
• Build monitoring, logging, and alerting for operational visibility and threat detection
• Implement Infrastructure as Code for consistent, auditable deployments across jurisdictions, maintaining compliance with frameworks like ISO 27001 and SOC 2
• Conduct vulnerability assessments, penetration testing, and security audits

What You'll Bring

• Ideally 5+ years in DevSecOps, platform engineering, or infrastructure with hands-on cloud security experience (AWS, GCP, Azure)
• Strong background in container orchestration, IaC, CI/CD pipeline security, and zero-trust architecture
• Experience with cryptographic systems, PKI, secure communication protocols, and network security tooling (firewalls, VPNs)
• Proficiency in Go, Python, Rust, or Bash for infrastructure tooling

Bonus

• Experience in government environments
• Professional certifications (CISSP, CCNP Security, or cloud security)

We are open to hiring both early-career and highly experienced candidates. We will also consider exceptional candidates on a part-time or contract basis. This role includes competitive salary, meaningful equity, and benefits.

The Role

Lucid has a major grant-funded research and deployment program underway with a leading European research institute, focused on building verifiable AI infrastructure. The program spans multiple parallel workstreams — hardware verification, secure compute, and assurance tooling — and needs a dedicated TPM to own execution.

You're a TPM or senior program manager from a hardware, infrastructure, or systems company. You've managed complex multi-stakeholder programs with external partners and are used to imposing structure where there isn't any. You're comfortable with hardware development timelines and constraints, even if you're not designing the hardware yourself.

What You'll Do

• Own end-to-end execution of a multi-workstream, grant-funded program with a European research institute
• Define scope, milestones, dependencies, and risk across hardware verification, secure compute, and assurance tooling workstreams
• Coordinate external partners and internal engineering, keeping parallel workstreams aligned to hardware development timelines
• Own grant compliance and milestone reporting, translating technical complexity into clear updates for leadership and non-technical partners

What You'll Bring

• Strong program management fundamentals — scope, milestones, dependencies, risk, and resource planning
• Experience managing programs with external partners and multiple parallel workstreams
• Enough hardware or IT infrastructure exposure to understand the cadence and constraints of hardware-adjacent projects
• Comfort with ambiguity and the ability to build program structure from scratch

Nice-to-Haves

• 5+ years of TPM experience (strong candidates with less will be considered)
• Background in hardware security, trusted computing, or data center infrastructure
• Familiarity with grant compliance and milestone reporting
• Experience at hardware, defense/aerospace, infrastructure, or research-adjacent organizations

Early-stage equity in a company working on a problem with real geopolitical stakes, founding-team-level influence on product and strategy, a small team with low bureaucracy, and work on infrastructure that makes AI safer and more accountable — not just faster.

The Role

Lucid's founding team is strong on cryptography, hardware security, and policy — but we're looking for someone who has operated inside the AI cloud infrastructure world. This hire brings industry credibility, a real rolodex, and the strategic instincts to shape Lucid's commercial go-to-market in AI compute. This is a business-shaping role with founding-team-level influence.

You're a senior commercial leader from a neo-cloud or AI infrastructure company. You've been in the rooms where GPU supply, colo contracts, and enterprise cloud deals get done — and you know the buyers, operators, and supply chain personally.

What You'll Do

• Own Lucid's commercial go-to-market in AI compute and land the first wave of enterprise contracts before we have brand pull
• Structure multi-year capacity commitments with takedown schedules and capex-heavy contract terms
• Advise the founding team on positioning and strategy, and recruit and build the commercial function
• Carry a number: personally close eight-figure-plus deals end-to-end with Fortune 500 buyers

What You'll Bring

• Early neocloud experience — joined a GPU cloud at seed or Series A and personally landed the first wave of enterprise contracts
• Operating leadership — the strategic breadth, recruiting ability, and ambition to own and grow Lucid's commercial function as the company scales, ideally signaled by prior founder/CEO experience or GM/P&L ownership
• Enterprise sales — personally carried a number and closed individual eight-figure-plus deals end-to-end with Fortune 500 buyers
• Capex / infra fluency — personally structured multi-year capacity commitments and capex-heavy contract terms (wholesale datacenter sales, energy PPAs, or operating roles at a neocloud)

Nice-to-Haves

• Experience with sovereign cloud, data residency, or regulated verticals (finance, healthcare, defense)
• Familiarity with confidential computing, TEEs, or hardware security
• Experience at a company at a similar stage (sub-50 people, pre-Series A or Series A)
• Genuine interest in AI safety, governance, or responsible deployment

Early-stage equity in a company working on a problem with real geopolitical stakes, founding-team-level influence on product, positioning, and strategy, a small team with low bureaucracy, and work on infrastructure that makes AI safer and more accountable — not just faster.