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Design, deploy, and maintain AI systems (LLMs, agentic workflows) that power SpaceX’s operations, from prototype to production, while collaborating with engineering and operations teams.
Build and deploy AI-powered applications for SpaceX’s mission-critical systems, including LLMs and agentic workflows, to accelerate launch operations and Starlink services.
Build and maintain the real-time, distributed software stack for SpaceX’s Starmind satellites, which combine solar-powered AI compute with autonomous satellite operations.
Design and implement embedded control systems for AI satellites, including attitude control, state estimation, and flight software in C++ for SpaceX's Starmind constellation.
Design and automate tests for space-grade hardware powering AI satellites, using Python and lab instruments to validate reliability and performance in extreme orbital conditions.
Design and operate optical metrology systems to validate space-grade optical hardware for AI satellites, automate tests, and troubleshoot issues.
Build secure, defensible software for Starlink’s satellites, ground systems, and user hardware, focusing on cryptography, OS security, and incident response.
Build and validate the custom compute hardware, power systems, and thermal radiators that will power SpaceX’s orbital AI data centers, integrating avionics and ensuring reliability in space.
Designs and optimizes large-scale AI inference systems for SpaceX’s mission-critical applications, focusing on distributed infrastructure, low-latency model serving, and GPU-level optimizations to accelerate internal AI workloads.
Owns end-to-end delivery of enterprise AI agent programs, aligning engineering, product, and execs while managing timelines, risks, and cross-team dependencies.
Build and deploy retrieval, RAG, and knowledge-graph systems that power Scale AI’s enterprise Generative AI platform, using Python and production-grade ML pipelines.
Design and build data pipelines and infrastructure connecting data with AI solutions, using APIs, ETL/ELT, databases, and language models for generative AI systems.
Design and build high-performance data infrastructure to unify simulation outputs and user inputs for AI systems, optimizing massive batch processing with minimal latency.
QA Engineer at AI startup building autonomous sales agents; test product features, evaluate AI voice agents through live calls, document bugs in Linear, establish QA processes.
Lead public-sector partner strategy and joint GTM initiatives for a company building rugged, deployable AI infrastructure for edge and sovereign use cases, driving revenue through co-sell, resale, and demand-gen motions with federal, defense, and SLED markets.
Build and deploy production-grade AI systems for edge environments like offshore platforms, mines, and autonomous vehicles, optimizing models for latency, robustness, and security across disconnected settings.
You deploy rugged, modular AI infrastructure in the field and then own the customer relationship long-term, ensuring sovereign-edge workloads run smoothly from first deployment to scale.
Deploys Cohere’s secure AI platform for Canadian public-sector clients, integrating it into private/hybrid clouds and ensuring compliance with strict security standards.
Intriq seeks a Senior Full-Stack Engineer to build features using Next.js, FastAPI, and Postgres. You will design async workflows, manage data pipelines, and automate infrastructure using Terraform and CloudWatch.
Solutions Engineer at a defense-focused AI company, building and demonstrating Generative AI prototypes for government and enterprise clients, primarily in the Southeastern US.
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