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Build and lead autonomy stacks for military-grade robots, integrating perception, planning, and sensor fusion in C++/Python to enable safe multi-vehicle operations.
Build automated test infrastructure for autonomous military systems, designing SITL/HITL environments and validating mission-critical software in C++ and Python.
Design behavior trees and state machines to orchestrate teams of autonomous robots, integrating sensors, flight controllers, and radios for mission-critical defense systems.
Design and maintain GCP infrastructure, CI/CD pipelines, and IaC for scalable, secure deployments while collaborating with cross-functional teams to enforce best practices.
phData, a remote-first data and AI consultancy, seeks a Senior Program Manager to lead complex client data/AI programs as a hybrid engagement lead and delivery leader — owning roadmaps, budgets, risk, and executive relationships across multi-geo teams. Work centers on the modern data stack (Snowflake, AWS/Azure/GCP, dbt, BI/ML platforms) and Agile delivery.
A Ph.D.-level biologist red-teams generative AI models to identify dual-use biological risks, translating biosecurity and biosafety expertise into safety benchmarks and actionable guardrail feedback for LLM alignment. Day to day: adversarial prompt research, risk evaluations, and tracking emerging biotech threats.
Senior engineer designing and implementing test strategies for high-performance AI ASICs, including scan insertion, ATPG, and post-silicon bring-up using advanced CMOS processes.
Build and automate cloud security controls for AWS/GCP, enforce PCI-DSS and ISO standards, and partner with engineering to embed security into scalable payment infrastructure.
Build and scale ML platforms for Reddit’s Ads team, including distributed training, experiment tracking, and agentic AI workflows to accelerate model development and deployment.
Fullpath is seeking a mid-level backend engineer to develop AI-driven products for the automotive industry. The role involves building and maintaining web applications, designing microservices, and utilizing AI tools within a collaborative, fast-paced startup environment.
Senior Backend Engineer at Peec AI owning the systems behind AI-visibility data infrastructure — scraping, chat processing, source ingestion, and analytics. Day to day you design queueing models, ship TypeScript services on Bun, debug provider outages, and operate GCP/Kubernetes infrastructure with Postgres, ClickHouse, Redis, and RabbitMQ.
A Senior AI Engineer leads enterprise AI projects (Generative AI, Computer Vision, Predictive AI, Big Data) as Technical Lead or PM for a global technology solutions provider, working on-site in Tokyo. Core work spans LLMs, RAG, fine-tuning, cloud AI platforms and NVIDIA AI tooling, plus mentoring engineers and client-facing solution design.
Senior Data Engineer who designs, builds, and optimizes enterprise-scale cloud data platforms (AWS/Azure/GCP, Databricks, Snowflake) on-site in Tokyo, Japan. Day to day: architect data warehouses and data lakes, build Spark/Python ETL pipelines, lead cloud migrations and PoCs, and mentor engineers for a technology solutions provider serving enterprise clients.
A Senior Software Engineer at Zenity, a leader in AI Agent Security, responsible for making existing features enterprise-ready, building GenAI & Copilots security solutions, and collaborating across teams to scale the platform. The role involves working with modern programming languages and cloud infrastructures like AWS/Azure/GCP.
Leads cross-functional AI-driven drug discovery projects, coordinating timelines, milestones, and resources between ML, engineering, and biology teams to advance novel therapeutics.
Research and exploit new attack vectors in AI agents, LLMs, and their ecosystems to uncover risks and shape security defenses for enterprise-scale AI platforms.
Lead the enterprise automation strategy for a regulated healthcare company, designing scalable test frameworks with Playwright/TypeScript and AI-driven tools to ensure software reliability and accelerate delivery in a mission-driven, hyper-growth environment.
Designs and secures cloud infrastructure on Azure and AWS, automating deployments with Terraform and AI to support a fast-growing, regulated pharmacy platform.
Oversee software release cycles for AI-powered defense systems, ensuring on-time, high-quality deployments by coordinating engineering, testing, and program teams.
Build and maintain the machine-learning infrastructure that trains and deploys autonomy and perception models for autonomous battery-electric rail vehicles, using cloud platforms and MLOps tooling.
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