Aditya Dixit

DevOps Engineer

Hyderabad, Telangana, India8 yrs experience
Highly Stable

Key Highlights

  • 8+ years in embedded systems engineering
  • Expert in DSP power management and low power optimization
  • Proven track record in leading firmware development teams
Stackforce AI infers this person is a specialist in Embedded Systems Engineering with a focus on power management and firmware development.

Contact

Skills

Core Skills

Dsp Power ManagementEmbedded Firmware DevelopmentLow Power OptimizationSoc ArchitectureBiometric Solutions

Other Skills

Embedded CArtificial Neural NetworksMachine LearningC++cPython (Programming Language)Embedded DevicesResource Management & SchedulingData StructuresHW-SW Co-design & DebuggingGitHubCode ReviewSystems EngineeringResearchPower

About

Embedded Systems Engineer with 8+ years of experience in designing and optimizing power-efficient firmware for high-performance SoCs, currently working as Lead Engineer at Qualcomm. I specialize in DSP Power Management, Low Power Architecture, and Embedded Firmware development across complex heterogeneous systems including Hexagon DSP and RISC-V subsystems. My work spans the complete product lifecycle — from architecture and design to silicon bring-up and production — with a strong focus on performance, scalability, and energy efficiency. Key expertise: • DSP Power Management (Active & Sleep frameworks) • Low Power Optimization & Latency Analysis • Embedded Firmware Development (C, Embedded C, Python) • SoC Architecture & Hardware-Software Co-design • Debugging complex HW-SW interactions • Performance & Power Profiling At Qualcomm, I have: • Led development of power management drivers used across multiple chipsets • Improved power efficiency and system performance through advanced algorithms • Reduced power/latency overheads through detailed profiling and optimization • Built internal tools to automate workflows and improve engineering productivity • Collaborated with global cross-functional teams on cutting-edge SoCs Previously, I worked at NXP and Synaptics on AI/ML systems, SoC health metrics, and biometric solutions. I hold multiple patents and publications in embedded systems, computer vision, and healthcare applications. I am passionate about solving low-level system challenges and building energy-efficient, high-performance embedded solutions. 📩 Open to opportunities in Embedded Systems, Firmware Engineering, and Low Power Architecture.

Experience

8 yrs
Total Experience
4 yrs
Average Tenure
4 yrs
Current Experience

Qualcomm

2 roles

Lead Software Development Engineer

Promoted

Nov 2024Present · 1 yr 7 mos · On-site

  • Leading a team of engineers for DSP Power Management firmware development
  • Architecting and developing power management drivers for Hexagon DSP subsystems
  • Implementing low-power algorithms to optimize battery life and system performance
  • Profiling power and latency metrics to identify optimization opportunities
  • Debugging complex hardware-software issues using on-target and offline techniques
  • Driving feature delivery across multiple SoC programs in collaboration with global teams
  • Developing internal tools to automate workflows and improve developer productivity
Embedded CArtificial Neural NetworksDSP Power ManagementEmbedded Firmware Development

Embedded power senior engineer

Jun 2022Dec 2024 · 2 yrs 6 mos · On-site

  • Designed and developed DSP Power Management drivers for active resource control
  • Contributed to sleep frameworks for idle power management across DSP and RISC-V subsystems
  • Improved system efficiency through optimization of power and performance trade-offs
  • Built automation tools to streamline development and testing processes
Machine LearningC++DSP Power ManagementLow Power Optimization

Nxp semiconductors

Embedded Software Engineer

Jun 2018Jun 2022 · 4 yrs · Greater Hyderabad Area · On-site

  • Developed systems to extract and analyze SoC design metrics using UNIX-based tools
  • Automated data processing pipelines using Python, SQL, NumPy, and TensorFlow
  • Built visualization frameworks to monitor SoC health and design quality
cPython (Programming Language)Embedded Firmware DevelopmentSoC Architecture

Synaptics incorporated

Intern

Jan 2018Jun 2018 · 5 mos · Bangalore

  • Developed spoof-resistant fingerprint recognition algorithms
  • Applied machine learning techniques using TensorFlow and OpenCV
  • Improved detection robustness against fake biometric inputs
  • Created tools to automate workflows and improve team productivity
Machine LearningcBiometric Solutions

Ge healthcare

Intern

May 2016Jun 2016 · 1 mo · Bengaluru, Karnataka, India · On-site

c

Education

Visvesvaraya National Institute of Technology

Master's degree — EMBEDDED DEVICES

Aug 2017Jun 2018

Motilal Nehru National Institute Of Technology

Bachelor of Technology - BTech

Jul 2013Aug 2017

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