Founding Engineer
arcadiaManhattan (NY)
About the role
New York, NYSoftware Engineering – Core Software /Full Time /On-site Company is replacing an R&D process that currently takes 10+ years and $100 million to produce a single discovery. Our self-driving lab platform combines AI with autonomous robotics to run experiments, analyze results, and iterate—continuously, without human bottlenecks. For industries like aerospace, automotive, defense, energy, manufacturing, semiconductors, and space, that means breakthroughs in weeks instead of years.
The Role:
This is a generalist software engineering role on the team building the core platform that powers our autonomous lab. Depending on where you plug in, you might own backend services, agent tooling, data and orchestration pipelines, internal platforms, or the infrastructure that keeps our systems observable and reliable in production.
What's non-negotiable: strong systems thinking, production instincts, and the ability to contribute across the stack. We're building software that controls and monitors physical systems in the real world — the bar for correctness and reliability is high.
We work across a deeply cross-disciplinary domain (robotics, ML, experimental automation), and one near-term priority involves hybrid cloud/on-prem deployments in customer environments. Engineers who've navigated those constraints will hit the ground running.
What You'll Work OnLab backend: experiment definitions, sample path-planning, long running durable task execution
Data backend: database schemas, migrations, ETL pipelines, object storage + partition design
Internal platforms: developer tooling, SDKs, shared services, service templates
Observability and reliability: structured logs, metrics, tracing, production debugging (OpenTelemetry, Prometheus/Grafana)
Hybrid infrastructure: cloud + on-prem, containerization, orchestration, infrastructure-as-code
Agent capabilities and tooling: API integrations, code execution, scientific literature retrieval, workflow automation
Scientific workflow orchestration: Bayesian optimization loops, experiment scheduling, long-running job execution, retries, idempotency
Data pipelines for ingesting, transforming, and serving data to models and LLMsWhat We're Looking For5–6+ years of production software engineering experience; strong enough to design, build, and ship end-to-end
Fluency in Go and/or Python; additional stack experience (TypeScript, Rust) is welcome
Deep comfort with distributed systems: timeouts, retries, idempotency, partial failure, dead-letter queues, safe rollback
Experience with concurrent and asynchronous programming — event loops, cancellation semantics, bounded queues, task orchestration under failure
Solid networking fundamentals (especially important for potential on-prem deployment contexts)
Containerization and cloud deployment experience (Kubernetes, AWS); comfort debugging Linux systems
High ownership: you find problems before they find users and raise the bar for quality
Nice to have:
- Experience with agentic systems or LLM workflows (tool-calling, context management, PydanticAI, LangChain)
- Experience with enterprise self-hosted storage solutions (Ceph/Rook, Longhorn, WEKA, VAST, TrueNAS)
- Ray framework experience
- Familiarity with MongoDB and gRPCCI/CD and DevSecOps experience (GitHub Actions, Gitlab Pipelines)
- Familiarity with embedded protocols (serial, I²C, Modbus), device virtualization, or microcontroller firmware
- Strong observability experience (Datadog, Prometheus, Grafana, ELK, distributed tracing)
- Frontend experience (TypeScript/Svelte/React) — real-time interfaces, state management, structured APIsWork Arrangement
This role is based in our New York City lab, and we are in person 5 days per week.
What We Offer: A competitive compensation package also includes the best in benefits:
- Medical, dental, and vision insurance for you and your family, covered at 100%Mental health and wellness support
- Unlimited PTO and 14+ company holidays per year
- Company-wide end-of-year shutdown, including two weeks of paid time off 401KEquity
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.