Arnav Kansal

Software Engineer

San Francisco, California, United States5 yrs 7 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in building high-performance systems
Led critical projects at Google Cloud
Strong foundation in Computer Science and Mathematics

Stackforce AI infers this person is a Cloud Computing and High-Performance Computing specialist with strong software engineering skills.

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Skills

Core Skills

Linux KernelC++MicroservicesReal-time Data Processing

Other Skills

GPUKernel DriversContainersHigh Performance Computing (HPC)Machine LearningAlgorithmsCPythonJavaMatlabPHPMySQLAndroidLaTeXHTML

About

I am a software engineer possessing a radiating passion for Computer Science and Mathematics. I continually challenge myself collaborating with others working on the most challenging problem spaces. Building performant systems that solve real-life problems at scale is what I love to do.

Experience

5 yrs 7 mos

Total Experience

2 yrs 9 mos

Average Tenure

5 yrs 4 mos

Current Experience

Google

Software Engineer

Dec 2020 – Present · 5 yrs 4 mos · Sunnyvale, California, United States

2025-onwards
Tech Lead at Google Distributed Cloud: Node OS and fleet management in fully air-gapped environments.
2020-2025
Technical lead and major contributor to the Container-Optimized Operating System (COS) team.
COS is a open source(https://cos.googlesource.com/) linux kernel based distribution that powers Google Cloud VMs and is the primary node OS for Google Cloud services like GKE, CloudSQL, Vertex AI.
I lead the accelerator space where I integrate and ship - GPU and TPU drivers, NIC/RDMA drivers, kernel and user-space features that enable GPU and Networking workloads.
I also regularly contribute to OS security, fixing critical severity CVEs in the COS kernel and user-space packages.

Linux KernelC++

Uber

Software Engineer

May 2019 – Dec 2020 · 1 yr 7 mos · San Francisco

Load Intelligence Team, Uber Freight
Delivering real-time actionable location, status, and health information to Uber Freight customers.
2020 Summer intern host.
Worked on and delivered risk engines powering internal tools that use live location data and historical features to compute risks for shipments being late.
Designing and leading efforts on building a core microservice that aggregates and surfaces in and out times for all truckload shipments - uses location data, other live signals from various providers and data sources.

MicroservicesReal-time Data Processing

Citadel securities

Software Engineering Intern

Jun 2018 – Sep 2018 · 3 mos · Greater Chicago Area

Low Latency Technologies: Auto-code generation for high-frequency trading hardware development; service discovery using distributed systems.

Samsung electronics

Software Engineering Intern

May 2016 – Jul 2016 · 2 mos · Bangalore, India

Energy-Aware CF Scheduler - Linux Kernel
Upgraded the Linux kernel to support energy awareness in the Scheduler. Implemented a system which takes into account the actual power topology of the underlying CPUs while scheduling tasks.