No applications. Teams find and message you directly.
Join Cursor as a Forward Deployed Engineer in Japan, working directly with customers to implement AI solutions and improve workflows. Requires strong software engineering and machine learning experience.
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars.
SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.
What You’ll Do
- Lead discovery with the customer: orient in their codebases and workflows, find the real bottleneck and the use case worth building, and define clear success metrics
- Design and ship production agents, AI applications, and coding-agent workflows on Grok and our models, on live business processes and inside the customer’s engineering org
- Get a first version live in days, then harden it over weeks with rollout, monitoring, and iteration from real usage
- Own production quality: tracing, evals, debugging model or delivery failures, and latency and cost tradeoffs
- Build the systems around the model (tools, MCP servers, retrieval, rules, skills, CI gates, and evals) and integrate them into the customer’s auth, data, workflow, and delivery systems; decide when prompting, architecture, data, process, or a model change is the right lever
- Measure the outcome that matters (revenue, cost, hours saved, error rate, cycle time, escaped defects), not seat adoption
- Work directly with Staff+, platform, and domain leaders, going deep in their systems while communicating clearly about tradeoffs and results
- Leave the customer team able to run what you built, and turn what you learn into reusable patterns and improvements to SpaceXAI products
You May Be a Fit If
Required
- You have 5+ years of experience in software engineering, machine learning engineering, or data science
- You write and review production code (Python, JavaScript/TypeScript; other languages welcome)
- You’ve owned a customer or operator outcome, not just a slide or a prototype, and can turn a fuzzy problem into a scoped, shipped system
- You’ve built and owned AI-native workflows or agents in production, and debugged real production failures (model, tool, data, pipeline, or delivery path)
- You’ve handled production reliability: metrics, alerts, safe rollouts, incident response
- You build end to end: frontend, backend, infra, and prompt iteration
- You thrive in ambiguity and don’t need a complete spec before you start building
- You can talk to working engineers and to a VP
- Fluency in both Japanese and English
Nice to have
- 2+ years in a customer-facing role, leading discovery conversations and being accountable for outcomes for external stakeholders
- Hands-on depth in several of: agents and tool-calling, eval harnesses, retrieval and context systems, CI/CD or developer platforms, and AI-native coding workflows in a real repo
- Experience as a forward-deployed, solutions, or platform engineer embedded with customers, or as a founding engineer who owned an AI product end to end