Arjit C.

Software Engineer

Bengaluru, Karnataka, India3 yrs 7 mos experience

Most Likely To Switch

Key Highlights

Expert in automotive systems and SoC performance engineering.
Proven track record in optimizing complex system performance.
Skilled in building tools that enhance engineering efficiency.

Stackforce AI infers this person is a specialist in Automotive and Embedded AI with a focus on performance engineering.

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Skills

Core Skills

System ArchitecturePerformance EngineeringBenchmarkingPerformance OptimizationPythonReact.jsFlaskBertMachine Learning

Other Skills

CPUGPUDDRNSPLLCCLatencyBandwidthLinuxQNXSoCAutomationTAPASShellProduct DesignGoogle Cloud Platform (GCP)

About

I work across automotive systems, on-device AI, and SoC performance engineering, focusing on delivering reliable real-world performance for next-generation automotive platforms. My experience spans ARM and Nuvia CPU architectures, system benchmarking, Real world Concurrent use case enablement, and LLCC/system-cache analysis. I enjoy solving complex system problems, building tools that cut engineering cycles, and enabling advanced workloads, multi-camera pipelines, GenAI, and LLM on constrained embedded platforms. Open to connecting with people working in automotive, embedded AI, and system performance.

Experience

3 yrs 7 mos

Total Experience

1 yr 9 mos

Average Tenure

2 yrs 11 mos

Current Experience

Qualcomm

3 roles

Senior System Engineer

Dec 2025 – Present · 6 mos · Bengaluru, Karnataka, India · On-site

Evaluating and optimizing end-to-end use-case performance across CPU, GPU, DDR, NSP, and other IPs, in concurrent scenarios, to ensure the chipset meets system level targets.
Analyzing memory, LLCC(Last Level Cache) usage, latency, bandwidth, and contention to identify bottlenecks.

System ArchitecturePerformance EngineeringCPUGPUDDRNSP+3

Systems Engineer

Jul 2023 – Dec 2025 · 2 yrs 5 mos · Bengaluru, Karnataka, India · On-site

Worked on CPU, GPU, and DDR benchmarking across 15+ SKUs for automotive SoCs based on ARM and Nuvia cores, targeting performance optimization on QNX and Linux platforms.
Executed performance validation across pre-silicon and post-silicon stages, with hands-on experience in silicon architecture, GPU/memory subsystems, and SoC bring-up.
Architected 2KLoC Python framework that reduced Vmin characterization time from 7 months to 1.7 months.
Specialized in Python-based automation, performance tuning, and cross-platform benchmarking.

PythonLinuxBenchmarkingPerformance OptimizationQNXSoC

Engineering Intern

Aug 2022 – Jun 2023 · 10 mos · Bengaluru, Karnataka, India · On-site

Built a BERT-based TAPAS chatbot to support aggregation and multi-turn conversational queries for internal data access.
Developed a React + Flask dashboard for visualising benchmarking data and enabling component comparisons.
Designed an in-house Priority Request Management System to streamline tracking and resolution of engineering requests.
Automated benchmarking workflows using Python and Shell, improving efficiency across validation teams.

React.jsFlaskBERTTAPASPythonShell