Computer Engineer

What You Will Do

• Collaborate with a seasoned startup and engineering team to push the boundaries of compute infrastructure.
• Develop software spanning our network stack, focusing on profiling and optimizing latency, reliability, and performance metrics of our checkpoint, migrate, and resume system.
• Gain profound insights into the physics of modern compute architecture by profiling bottlenecks in network, memory, interconnects, CPU, and GPU, understanding the hierarchy of compute architecture.
• Work extensively across networking stacks in low-level systems, containers, and clusters, addressing cross-node and cross-system networking challenges.
• Create internal tools and methodologies for simulating complex network dynamics.
• Build and enhance our internal storage migration system at both kernel and user space levels.
• Optimize network checkpointing, migration, and manipulation of network connections in flight.

Requirements

What We Are Looking For

• 3-5+ years of software development experience, particularly focusing on Linux kernel and networking stack.
• Exceptional articulation skills with a proven track record of documenting code and insights, fostering an environment of continuous learning and knowledge sharing.
• Ability to rapidly assimilate complex code bases and collaborate effectively with cross-functional teams.
• Strong problem-solving abilities with multidisciplinary experience.

Preferred Qualifications

• Solid understanding of Linux and UNIX fundamentals, including standard libraries, services, networking, and kernel/user-space interaction.
• Proficiency in network protocols such as TCP/IP, UDP, QUIC, etc., with experience in developing and debugging on Linux using tools like gdb and valgrind.
• Familiarity with packet decoding and analysis tools like tcpdump and Wireshark, along with experience in developing across the stack (OS/kernel, systems, containers, services) using languages like C and C++.
• Experience in building data pipelines for collecting and shipping data from diverse sources, coupled with familiarity with visualization tools and frameworks.

Nice to Have

• Knowledge of existing open-source networking technologies like eBPF, AF_XDP, Envoy, Istio, etc., and familiarity with data path hardware acceleration protocols such as RDMA and NVMe.
• Experience with Kubernetes, Cloud-native Network Functions, Container Network Interface plugins, performance engineering, and security practices.
• Passing familiarity with cross-GPU protocols like GPUDirect or NVLink.

Benefits

• Competitive salary range: $120,000 - $170,000 per year
• Equity ownership in the company, providing a stake in the company's success and growth.
• Comprehensive health care benefits covering medical, dental, and vision.
• Generous vacation policy and flexible work arrangements.
• Access to top-tier investors and entrepreneurs, providing invaluable networking and learning opportunities.
• Opportunity to work on cutting-edge infrastructure for AI and High-Performance Computing, fostering continuous learning and professional growth.