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Builds and maintains distributed data pipelines for genomic and public health datasets using Hadoop/Spark, enabling outbreak detection and surveillance workflows.
Develops and maintains Pixel bootloader/firmware in C/Rust, collaborating with hardware/software teams to enable Android on Pixel devices, from pre-silicon emulation to mass production, with a focus on boot, memory, IO, and security.
This role involves managing and improving the reliability of high-performance datacenter network infrastructure supporting AI workloads. The engineer will use Golang, Python, or Rust to build automation and telemetry tools while leading incident response and network optimization efforts.
Senior backend engineer building and scaling a Rust-based cybersecurity platform (Fortanix Key Insight) that integrates with cloud providers and enterprise systems to discover and analyze cryptographic security risks, owning features end-to-end from design through production.
The Senior Backend Engineer will develop and maintain data-centric security services using Rust, managing features from requirements to deployment. The role focuses on building scalable microservices and integrating with cloud and enterprise systems to enhance cryptographic security.
Design and build scalable, secure microservices for Zscaler’s cloud-native Zero Trust security platform using Java/Go/Rust, Kubernetes, and event-driven architectures in San Jose, CA.
Lead and scale Tines' product security program in an AI-forward engineering environment, combining strategy, people management, and technical execution across the SDLC, vulnerability management, and AI product security using cloud-native and automation technologies.
Build and maintain production-grade AI software applications and RESTful APIs in a hybrid role (2 days/week onsite in Arlington, VA) requiring a Secret clearance, using languages such as Python, Rust, Go, Scala, or Java.
Reverse engineer malware and uncover novel adversary tactics, then turn findings into protections shipped to customers while publishing research publicly.
Develops and optimizes Rust-based software for national security simulations, decision support, and optimization tools, collaborating with researchers to bridge complex algorithms into production systems.
This role involves creating reinforcement learning environments and deterministic verification systems to evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools. Engineers will design reproducible scenarios for bug fixing, feature implementation, and refactoring.
Quantum Art, a full stack quantum computing company, develop state of the art quantum computing systems based on trapped ions technology (both hardware and software). As part of our mission, our team builds our quantum…
If you're a great engineer with a wide-ranging skill set, we want you to apply and join the team. You'll help us build Hermes Agent, Nous Portal, and other infrastructure that powers Nous Research. A lot of our…
Builds, deploys, and maintains production infrastructure for national security software, focusing on Kubernetes, Helm, and Docker to ensure reliable, observable deployments across cloud and on-prem environments.
Builds and maintains Elastic’s AI integrations (MCP server, CLI, skills) in Go/Rust to connect Elastic with third-party AI ecosystems and developer tools.
Senior Software Developer on the Elasticsearch Performance team, contributing to performance engineering initiatives, optimizing Elasticsearch performance, and working with distributed systems and AI-assisted optimization harnesses.
Senior Software Engineer on the Elasticsearch Performance team, focused on profiling, benchmarking, and optimizing distributed search systems using Java/JVM.
Principal Software Engineer leading performance tuning and optimization of Elasticsearch—profiling bottlenecks, building benchmarks, and driving architectural improvements across distributed, serverless, and vector search workloads using Java/JVM internals.
Leads architectural and code-level performance engineering for Elasticsearch, optimizing search, observability, and AI retrieval systems to ensure scalability, predictability, and high performance across distributed environments.
Leads architectural and code-level performance engineering initiatives for Elasticsearch, driving optimization, predictability, and scalability in distributed systems using Java, JVM internals, and performance tools like flamegraphs and JMH.
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