Ankita G.

DevOps Engineer

Bengaluru, Karnataka, India7 yrs 1 mo experience

Highly Stable

Key Highlights

7+ years in software and systems engineering.
Expertise in autonomous systems and AI.
Proven track record in automation and infrastructure.

Stackforce AI infers this person is a skilled software engineer specializing in automotive and AI infrastructure.

Contact

ankitaghosh199614@gmail.com LinkedIn

Skills

Core Skills

InfrastructureDevopsEmbedded SystemsAutomationAutonomous DrivingSoftware DevelopmentVehicle Communication

Other Skills

Agile MethodologiesAnsibleCC++CUDADebuggingDistributed SystemsDriveOSGCPGazeboGitHigh Performance Computing (HPC)JiraLinuxMicrosoft PowerPoint

About

I’m a software and systems engineer with 7+ years of experience across automotive, AI, and embedded systems, now building scalable infrastructure at Google. At Nvidia, I built and automated DriveOS APIs for autonomous platforms (Linux/QNX), resolved 100+ bugs, and delivered high-impact solutions in low-level systems and AI. At Google, I now work on infrastructure powering silicon development using tools like Slurm, Terraform, Puppet, GCP, and Ansible. Tech Stack: Python, C/C++, Linux, QNX, ROS, Docker, TensorRT, ONNX, PyTorch, Slurm, Terraform, Puppet, Ansible, GCP, CI/CD, gdb, Valgrind. Excited by robotics, infra, and AI at scale—always open to connecting and learning!

Experience

Google

Systems Development Engineer III

Feb 2025 – Present · 1 yr 1 mo · Bengaluru, Karnataka, India · Hybrid

Google AI Silicone Infrastructure:
System Infrastructure and Tooling in Platforms & Devices for Google’s custom Silicon.
April 2025:
Working on creating internal tooling for metric driven data to make the life of silicone engineers easier.
July 2025:
Owning Metric Monitoring and Alerting for Slurm Observability and Partial SME for Slurm(BLR)

SlurmTerraformPuppetGCPAnsibleInfrastructure+1

Nvidia

Software Development Engineer In Test ll

Nov 2020 – Oct 2024 · 3 yrs 11 mos · Bengaluru, Karnataka, India · Hybrid

November 2020-August 2021
1. Working on Drive AGX platform for Pegasus and Xavier DriveOS features.
2. Automation Newbie.
September 2021- January 2023
1. Working on module with the newest Nvidia Orin Drive AGX platform.
Extensively working on DriveWorks, SDKM, Memory Leaks.
2. Automation: Various modules ranging from CUDA, TensorRT to Microcontroller (AURIX).
February 2023
Working on MCU module with the newest Nvidia Orin Drive AGX platform: Linux and QNX
End to End Automation of module.
September 2023
Linux-BSP automation for DriveOS
March 2024
Linux-BSP System Software/Yocto Automation on LTS (DDPX), Orin and Thor Platforms for DriveOS.
September 2024
DriveOS Linux-BSP 100% Automation and new Thor Platform Support.

DriveOSLinuxQNXCUDATensorRTEmbedded Systems+1

Bosch engineering and business solutions

2 roles

Software Engineer

Promoted

Jul 2019 – Oct 2020 · 1 yr 3 mos · On-site

1. Advance Engineering in Autonomous Driving (Vehicle Motion)
This was the backbone for communication in the whole project for vehicle motion.
Developed a working code in C++ for parsing, decoding and encoding to-fro communication signals from Vehicle to Stakeholders and vice-versa.
The implementation required ROS architecture over Linux environment on an industrial PC.
2. RADAR Functional Development
Working on a product line of rear corner radar. This product has numerous features, one of which is Pre Crash Prediction. Developing industrial code for this in C++14. My role also comprises of situational analysis where we do simulations and resimulations to predict relevant object tracking.

C++ROSLinuxAutonomous DrivingSoftware Development

Associate Software Engineer

Sep 2018 – Jul 2019 · 10 mos · On-site

Advance Engineering in Autonomous Driving (Vehicle Motion)
1. Developed a CAN communication intermidiate ECU using STM-32 using C. This was done so that all the stakeholders can use the vehicles CAN signals for development.
This code made sure that the Vehicle's motion is taken care of.
2. Developed another Intermediate ECU for Vehicle motion. This was solely done to increase channels for communication.
3. Path Planning in Gazebo environment.
This included designing a prototype track which duplicates the real testing track. This included all the sensors to be embedded.

CSTM-32GazeboEmbedded SystemsVehicle Communication