Own firmware and embedded solutions end-to-end, from customer problems to shipped features across device, backend, and cloud.
Drive technology choices and architectural patterns for intelligent video, voice AI, and computer vision at the edge.
Partner with hardware, backend, and product teams to scale Samsara's edge AI strategy and mentor engineers.
Samsara is the pioneer of the Connected Operations Cloud, enabling organizations to harness IoT data for safer and more efficient physical operations. A recently public company with over 2.3 million IoT devices deployed, it fosters a growth-minded, customer-focused culture with flexible remote work.
Design and implement high-performance networking code for the Zscaler Client Connector, predominantly using Rust.
Build solid, testable, well-documented foundations to improve code quality across multiple desktop platforms.
Debug complex network-related problems and collaborate with product managers and teams to deliver customer-impacting features.
Zscaler accelerates digital transformation with a Zero Trust Exchange platform that securely connects users and protects against cyberattacks. The company's platform spans 200+ data centers, fostering ownership and collaboration.
Own the device software architecture end to end, from safety-critical control to secure cloud communication.
Lead a small firmware team while staying hands-on, driving fast iteration and clean interfaces.
Bring up new hardware, implement revenue-grade metering, and ship secure OTA updates.
ConnectDER develops the Meter Socket Adapter, a product that reduces the cost and interconnection time for solar energy, EV charging, and home battery storage. They are a venture-backed company of over 50 professionals with a collaborative, transparent, and team-oriented culture.
Own firmware architecture and technical direction for ESP32-based connected devices across the full lifecycle.
Lead project planning and act as the primary firmware technical contact for clients, translating needs into specs.
Mentor engineers, establish coding standards, and improve testing, automation, and release processes.
The company builds innovative connected devices for commercial, industrial, and consumer applications. Its collaborative engineering team works fully remotely and values technical ownership, mentorship, and production-ready delivery.
Design and maintain firmware for wearable sensing devices, including sensor integration and real-time data acquisition.
Build reliable device-to-cloud communication and AWS infrastructure for large-scale multimodal data.
Develop APIs and data pipelines in Python, and remotely deploy, monitor, and debug the device fleet across real-world collection sites.
An early-stage Physical AI company building the data layer for real-world robot operations. They capture synchronized vision and touch data from human work using wearable sensors to create high-fidelity training datasets.
Develop and maintain Linux software across the full Ubuntu stack for next-generation silicon and hardware platforms.
Collaborate with silicon and technology partners on new architectures, optimization, and open-source contributions.
Work remotely with a globally distributed engineering team on Linux, AI, IoT, and emerging technologies.
They develop and maintain Ubuntu across next-generation silicon and hardware platforms, collaborating with global technology partners. The team works in a globally distributed, remote-first environment with a strong focus on open source and engineering excellence.
Own network solutioning for k0rdent AI, designing GPU cluster interconnects and multi-tenant isolation.
Publish reference architectures and run proofs of concept on real hardware with customers.
Research emerging AI networking technologies and help shape the product roadmap.
Mirantis is a Kubernetes-native AI infrastructure company helping organizations build and operate scalable, secure infrastructure for modern AI workloads. It is committed to open standards, technical excellence, and a distributed, collaborative team culture.
Lead end-to-end technical deployments for GPU neocloud and AI Factory customers.
Configure and troubleshoot bare metal GPU infrastructure including CNI, GPU Operator, and storage.
Build playbooks and transfer knowledge to customer teams for self-sufficiency.
vCluster Labs provides a platform for AI infrastructure, helping GPU cloud providers and enterprises build Kubernetes-based clusters. They are a venture-backed startup with 40+ engineers and a remote-first culture, powering over 100,000 GPUs.
Embed with business and clinical teams to learn workflows and identify where AI can reduce manual work.
Ship production-quality AI tools that turn six-to-eight-hour tasks into under thirty minutes, using telemetry and privacy-by-design.
Drive adoption until teams run the tools independently, then turn learnings into reusable building blocks.
Rula is a mental health care company making mental healthcare work for everyone through evidence-based, compassionate care. It is remote-first, inclusive, and hires across most U.S. states.
Lead technical discovery and turn ambiguous cyber needs into a tractable plan with clear architecture and acceptance criteria.
Build and integrate AI-enabled security workflows using production software, APIs, telemetry, and security systems.
Deploy, operate, and evaluate AI workflows in customer environments, ensuring security, maintainability, and handover.
Eliza is a technology services company and Advanced-tier OpenAI partner that helps organizations build and deploy AI solutions, including generative AI, custom LLM integrations, predictive analytics, and intelligent automation. The company has a collaborative, mission-driven team focused on real-world AI impact and values adaptability, ownership, and hands-on client collaboration.
Work closely with CPU architects, RTL designers, and software engineers to develop verification strategies.
Build robust test environments and uncover corner cases in modern out-of-order processors.
Own meaningful portions of the verification effort from test plans to debugging failures.
Tenstorrent is a leader in AI technology, developing high-performance RISC-V CPUs and AI platforms. The company values collaboration, curiosity, and solving hard problems, and is growing its team with contributors of all seniorities.
Lead and develop a distributed engineering organization across multiple time zones.
Drive technical roadmap and engineering excellence for scalable, secure, observable systems.
Foster ownership, continuous learning, and reliability practices across engineering teams.
They build developer tooling for identifying security vulnerabilities and code quality issues early in the development lifecycle. A distributed, collaborative culture across Canada, US, and Europe, emphasizing ownership and continuous learning.
Own the SoC architecture around our CPU core: fabric, memory, I/O, power, and security.
Set architectural direction and make system-level trade-offs across design, verification, physical design, and software.
Author specs, drive reviews, and support silicon bring-up and post-silicon debug.
Nuvacore is building a new general-purpose CPU core for AI-era, data-center-scale workloads. Founded by veteran CPU and system architects from world-class companies and backed by Sequoia Capital, we're a clean-sheet build with no legacy architecture to carry forward.
Build and maintain fleet-wide OTA update capabilities for thousands of on-premise appliances.
Develop and optimize control-plane connectivity between deployed appliances and AWS infrastructure.
Tune network stack performance and conduct profiling to improve reliability across a distributed fleet.
They build and operate core edge infrastructure deployed across thousands of on-premise appliances in school networks. The company offers a remote senior systems engineering role, with a distributed team collaborating across India, the US, and the UK.
Design and build full-stack capabilities supporting AI initiatives across Keeper's product portfolio.
Develop backend services, APIs, and frontend experiences that integrate AI-driven functionality into secure production environments.
Collaborate with AI and product engineering teams to remove technical dependencies and deliver production-ready AI features.
Keeper Security is a cybersecurity software company providing zero-knowledge and zero-trust security solutions that protect passwords, secrets, and infrastructure. It is a fast-growing global organization trusted by millions of users and thousands of enterprises, with a culture focused on innovation and reliability.
Field CTO for customer engagements, owning prototyping and deployment of AI solutions.
Work closely with engineering, research, and business teams supporting national security customers.
Travel up to 50% to customer sites for scoping and implementation.
EdgeRunner AI is an American dual-use research lab building frontier open-weight AI for the U.S. military and regulated industries. As a Series-A startup with $17.5M in funding, we are a fast-moving, remote-first team focused on national security.