intuitivesurgical > intuitivesurgical Employee Directory > Ashwin Raut
ashwin-raut-33284911
Last updated: Yesterday
Ashwin Raut's Personal Email and Phone Number
Find unlimited person contact information for free with noon.ai.
Ashwin Raut
Senior Software Manager
Get email
(free lookup!)
Get phone #
(free lookup!)
Location: San Francisco Bay AreaApprox. Years of Experience: 16
Ashwin Raut's Current Workplace
Intuitive
Company Size
2500+
Amount Raised
N/A
Intuitive (Nasdaq: ISRG), headquartered in Sunnyvale, Calif., is a global technology leader in minimally invasive care and the pioneer of robotic-assisted surgery. At Intuitive, we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints. Intuitive brings more than two decades of leadership in robotic-assisted surgical technology and solutions to its offerings, and develops, manufactures, and markets the da Vinci surgical system and the Ion endoluminal system.
Show more
Notable Investors
N/A
Robotics
Medical Device
Intelligent Systems
Experience
Senior Software Manager
Intuitive · Full-time
Jan 2025 - Present
• 3 mos
Robotics software for Da Vinci Multi Port Surgery System. Sub Teams: - Servo Software and Real Time Frameworks - Supervisory State Machine - Simulator Platform - Robot Middleware/Infrastructure - Fault Recovery/Diagnostics, Logging, Events, Replay - Audio Embedded Real time software for Linux and RTOS(QNX) platforms.
Cruise
Sep 2020 - Jan 2025
Senior Engineering Manager - Robotics - Embedded Software
Sep 2023 - Jan 2025
• 1 yr 5 mos
Head of High Integrity (Real Time Software) Devices & Platforms Org. • Driving Cruise's vision, strategy & execution for Real time Embedded Software stack (RTOS & Linux) based on modular architecture to deliver for 15+ embedded edge devices. (Power, Thermal, Sensors, Cleaning, Actuators, Autonomous Driving Interfaces, Safety Computes, Connectivity & Display devices) • Drove Cruise wide initiative & Device software development for Autonomous Delivery Program (across 4 orgs & 10+ teams). Enabled rapid scaling, doubled cargo delivery capacity, reduced delivery trip cost by 50% & enabled new market verticals to unlock >25% of Company's Revenue goals. • Leading High Integrity Software teams to develop scalable Embedded Software platforms. o Devices & Services team – Embedded Applications for RTOS & Linux devices, ROS, API’s. (Power, Motion Sensing, Sensor Cleaning, Safety Services, NVIDIA Compute, Display etc.) o Middleware & Frameworks team – Hardware Agnostic Common Middleware & Frameworks. (Sensor Data Streaming, IPC, ZeroMQ, Events, Diagnostics, Metrics, Logging, Memory & Task Mgmt, MPU etc.) o Platform Software team – RTOS (GreenHills, Zephyr, FreeRTOS) & Linux (Yocto, Buildroot) (Bootloaders, Secureboot, OTA, Device Drivers, HAL, OSAL, BSP, Manufacturing etc.) • Hired, mentored & grew team from 4 to 23 Eng.(4 teams - 2 Managers & 2 Tech leads). • Established processes & mechanisms for Safety Critical SW development. (ISO26262, FMEA, Development process, Release cadences, Coding Guidelines, Static Analysis, Code Coverage, Automated testing, Mocks & Simulations) • Identified Launch Objectives & Milestones, Multi Year (3-5 yrs), Yearly & Quarterly Company Goals, Established Cross Functional Planning Process & Executed on Team Vision, Strategy & Roadmaps to scale & deliver. • Aligned HW & SW Architectures across multiple products & cross functional orgs to scale.
Engineering Manager II - Robotics - Embedded Software
Sep 2020 - Sep 2023
• 3 yrs 1 mo
• Managing multiple Embedded Software teams (4 teams - upto 23 Engineers) to deliver critical Sensing, Compute, Actuation, Connectivity & Cargo/Delivery applications across multiple generations of Cruise Autonomous Vehicles spanning Ridehail & Delivery Business Units. • Delivered for Cruise's Supervised Driving, Driverless and Ridehail launch milestones and service scaling across San Francisco, Phoenix, Austin and multiple other US cities along with Supervised driving in a few International locations for First Generation Autonomous Vehicles and Next Generation Cruise Origins. o High Integrity Devices team - High Integrity Software for Sensing, Actuations, Computes. o Power, Thermal & System Management team - Power distribution and Thermal Management. o Autonomous Driving Interface team –Safety Critical software between Autonomy Stack & Vehicle (ROS, ZeroMQ, Linux apps) o Cargo, Mobility and Auxiliary Devices team - Autonomous Delivery, Mobility & XMI Display. ( Linux middleware and apps, Zephyr RTOS) First Generation AV Cruise Origin FirstGeneration Delivery.png
Software Development Manager III - Amazon AI (Computer Vision & AI at Edge)
Amazon · Full-time
Aug 2019 - Sep 2020
• 1 yr 2 mos
Led an AWS Panorama AI Devices team (15 Engineer's - 3 sub teams) to build an AI Device to enable Computer Vision and Machine Learning Algorithms at Edge. (AI at Edge) - ML Runtime, MediaPipeline and Apps team (ML Application SDK - Python and C++ , Media pipeline & Sensor Data pipeline, Sensor Fusion, VM / Docker Container Orchestration and runtime ( runC ) - C++/Go, ML Inference Server API's & Runtime , ML runtime optimizations using GPU's , Memory Management , CV Data Stream management, Message Bus and Event handling, Modular Plugin based architecture , AWS Sagemaker , lifecycle management) - Device CV - Middleware & Frameworks team (Camera Data Sources , Thermal Cameras , HDMI Data Sinks , Video Encoder/Decoder - H264, Image processing and graphics operations - color conversion , scaling , cropping, ROI, GPU agnostic Image operation API's , CUDA libraries , IPC Frameworks, Cloud connectivity & Fleet management , OTA SW Updates , AWS IOT Device management & app Deployment channel, Metrics, Logging , Device KPI's) - Device Platform team - Linux (Provisioning , health monitor, Reset, OS & Device Hardware Abstractions (OSAL & HAL), Secure boot & code signing, Software builds, Device fusing and cryptographic key placement , Protecting ML models end to end - SW & HW , ML model encryption/decryption using ARM Trustzone, SELinux , Linux Hardening, Secure credentials & encryption at rest, Manufacturing support DVT, PVT on NVIDIA Jetson Xavier platform). - Guiding HW, QA & Release planning. Perform launch roadmap/release planning & capacity planning to deliver new features into upcoming product roadmaps. Proposed and Led new Sensor Fusion Framework initiative development across Amazon devices, aligned internal teams, Principal Engineer's and product team's for Project approval, Headcount approval, Development roadmap and brought in first customers for the framework. Doubled the team size by hiring engineers into appropriate areas & helped scale the team. AWS Panorama - CV at Edge
Samsung Electronics
Mar 2014 - Aug 2019
Senior Manager, Software Engineering - Digital Health Wearable Devices & Sensors
Mar 2019 - Aug 2019
• 6 mos
• Developing next generation Digital Health Software and Sensor Platforms with new sensors for multi-modal data sources and develop Biomedical Algorithms using AI/ML and sensor fusion. • Leading Multiple Wearable device teams: Embedded wearable device & sensors software team , Biomedical Algorithm development team & Android App team for sensing, detection and management of Heart Disease & Stroke, Overall Health & Wellness, Sleep management with non invasive Localized Modulation of nervous system. (Inertial Sensors - Accelerometer/Gyroscope, Optical - PPG & Biomedical Sensors - ECG , Audio sensors) • Built & Led the team to build company’s first-ever FDA 510(k) Cleared Wearable device and Android App for cardiac monitoring. (Integrated in Samsung Galaxy Smart Watch as well) • Led Ideation & New Product Development Initiative for a new product idea, developed Technology Strategy, Engineering Roadmap and built a team to develop a MVP. • Led device software/firmware development (C & C++, FreeRTOS, Tizen/Linux/Yocto) for multiple wearable platforms (SimBand, CardioBand, Next-Gen wearable) with sensors, algorithms & Sensor Fusion Framework/Engine. Also led development for BSP, Device Drivers, SPI, I2C, UART interfaces, Power Management, Device Middleware & Applications. • Interfaced with product and business teams to perform competitive market analysis, gather & clarify requirements to plan, prioritize & drive execution across system design, implementation & integration efforts between HW, SW, Algorithms, Cloud, QA, Clinical Validation, User studies & Product teams. • Drove & Setup FDA compliant SDLC processes across teams including Hazard and Design analysis, Code reviews & quality checks, Test plan & reviews in compliance with IEC62304 for FDA QSR (21CFR Part 820) for a Class 2 medical device. • Coordinated launch pilots, clinical trials ,conducted product demo's & press interviews (BBC news - Aug 16, 2014). • Hired & Developed the Embedded Software Team. Skills: media Interview CardioBand.jpeg Simband.jpeg Simband.jpeg
Staff Eng / Software Engineering Manager - Digital Health Wearable Devices & Sensors
Mar 2017 - Mar 2019
• 2 yrs 1 mo
Engineering Manager / Staff for Samsung Digital Heath Wearable devices. Embedded Software, Sensors , Sensor fusion.
Senior Software Engineer - Digital Health Wearable Devices & Sensors
Mar 2014 - Mar 2017
• 3 yrs 1 mo
Digital Heath Wearable Devices - Embedded Software : Sensor Interfacing , IMU: Accelerometer , ECG , PPG Optical Sensors, SPI , I2C, RTOS , Yocto , Embedded Linux based wearable devices. Built multiple generations of health wearable devices with different platforms. Drove end to end Embedded Software Features
Software Engineer
Defense.Net, Inc (Acquired by F5 Networks) · Full-time
Jul 2013 - Feb 2014
• 8 mos
Developed high performance cloud based distributed C/C++ Anomaly Detection application for layered Defense against DDoS Attacks on massive networks. (Distributed Denial Of Service Attacks). Developed modules for a self-learning application to detect, classify and prevent Cyber-attacks against web servers and web-based services of financial institutions and data centers. Implemented baseline and feature monitoring code for monitoring, learning and thresholding of "Syn" requests. Implemented the code to gather internal statistics from multiple instances of the application from the AWS and also to deploy the application. Being a third startup engineer apart from CTO and the VP, Worked on the product from requirement collection, feasibility study, software design and development to testing and deployment as part of early stage product rollout.
Embedded Software Engineer - Sensors
Qualcomm · Full-time
Jan 2013 - Jul 2013
• 7 mos
Designed and implemented critical features for real time embedded Sensor Fusion platform on Android using 3D Accelerometer & Gyroscope, Magnetometer & Pressure sensors. Wrote sensor device drivers and developed sensor interfacing API's for Smartphones with Snapdragon Processors. (Google Android Nexus phones and other LG devices) Co-ordinated with different sensor customers/vendors/third parties to determine the product requirements and specifications to design and develop a generic software framework for sensor to mobile device communication on Qualcomm DSP's and Sensor Hubs.
Software Engineer
Narus Inc (A Boeing Company)
Feb 2011 - Jan 2013
• 2 yrs
Led the initiative to overhaul and optimize design for deep packet inspection engine used to identify and report cyber security threats in real time. Designed and Implemented adaptive Learning algorithm (Baseline Learning Algorithm) for behavior based network anomaly detection for Cyber Protection Solution Suite deployed at FAA and other similar Government agencies. This algorithm monitored baseline on a network traffic with more than millions of connections per second. Improved existing data structure( C++ hashmap) for fast access , purging and recycling based on LRU algorithm without moving data between modules, Modified C++ boost libraries to use an optimized memory allocator/pool to avoid memory fragmentation , added zero copy DMA functionality, Abstract API's for handling high speed data etc. Received Employee achievement recognition for more than doubling product performance in terms of processing speed capacity (> 40 Gbps) by designing a modular and expandable design. Worked with internal/external customers and different Network Interface card vendors to select next generation packet capture cards.
Embedded Software Research - Wireless Sensor Network
San Jose State University
Aug 2009 - Dec 2010
• 1 yr 5 mos
Worked on researching and implementing Cognitive Radio Techniques in PHY & MAC layer of Wireless Sensor Networks. Implemented Link adaption, Channel hopping, Adaptive transmit power levels and adaptive source encoding in multi hop wireless sensor network for reliable communication in large scale solar power plant monitoring. Wrote Linux kernel device drivers for uClinux to control GPIO connected devices and sensors.
Education
  • Dates unavailable
    San José State UniversityMasters of Science in Computer Engineering, Embedded Systems & Computer Networks
  • 2019 - 2019
    University of California, Berkeley, Haas School of BusinessCertificate, Berkekey-Haas Product Management Program
  • Dates unavailable
    Savitribai Phule Pune UniversityBachelor's Degree, Electrical, Electronics and Communications Engineering