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Build software to design, simulate, and operate off-grid solar/storage power campuses for AI data centers—using Python for high-fidelity simulations, geospatial data pipelines, automated site design, and an in-house energy management system.
Lead data governance, quality, and enterprise reporting for a sustainable environmental-tech company, shaping the global data strategy and architecture while developing Power BI analytics solutions.
Builds and optimizes the core AI agent system for Perplexity’s flagship answer experience, focusing on multi-agent orchestration, context management, and reliability at scale. Works on observability, evaluation, and autonomous failure recovery to improve both user-facing AI and model training pipelines.
Build and operate scalable data infrastructure and experimentation platforms for mobile games at Scopely in Tokyo, using GCP, BigQuery, Apache Beam/Spark/Flink/Kafka, Kubernetes, Airflow, and Terraform with AI-native development workflows.
The Cybersecurity Scientist will lead R&D projects for DoD systems, focusing on secure-by-design architectures, parser development, and model-based systems engineering. The role involves technical leadership, business development, and software development using C/C++, Python, and Rust.
Intern on Galaxy's Product Security team helping develop and refine secure engineering standards (auth, API security, web UI security, secure coding) and build custom libraries/resources for engineering teams, using Python/Rust/C++/Solidity and GenAI tools.
This cybersecurity internship involves developing secure engineering standards, guidance for authentication and APIs, and creating custom security libraries. The role requires programming skills in languages like Python or Rust and an interest in the cryptocurrency ecosystem.
About Current Surgical Inc. Current Surgical is a startup company developing technology on the frontier of engineering and biology. Our first product is a smart microinvasive needle that precisely destroys tumors…
Build and optimize distributed systems for AI training and inference workloads, focusing on cluster management, scheduling, and hyperscale infrastructure.
Builds and optimizes a low-level ML execution framework in Rust for high-performance generative AI inference on custom hardware.
About Nexus Nexus is the engine for verifiable finance — a blockchain designed to natively embed the world’s financial system into one compounding system. Built to support every major financial market on a single…
About Thinking Machines The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and…
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice…
Lead validation of NVIDIA’s high-speed AI networking tech (InfiniBand, Ethernet, NVLink, BlueField DPUs) by designing test plans, automating benchmarks, and debugging complex distributed systems at scale.
Architect and build validation systems, testing frameworks, and automation infrastructure for NVIDIA's high-speed networking solutions (Ethernet, InfiniBand, NVLink, BlueField DPUs) across large-scale AI clusters using C/C++/Rust and Python.
Java engineer building high-performance, latency-sensitive services for JPMorgan's Global Liquidity and Cash Management platform using Java 17+, Spring Boot, CockroachDB, and Linux/cloud environments.
Lead a team of penetration testers at Lloyds Banking Group, shaping the penetration testing strategy and driving both human-led and autonomous security testing across the enterprise.
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