For the given job description <<X is Alphabets moonshot factory. We are a diverse group of inventors and entrepreneurs who build and launch technologies that aim to improve the lives of millions, even billions, of people. Our goal: 10x impact on the worlds most intractable problems, not just 10% improvement. We approach projects that have the aspiration and riskiness of research with the speed and ambition of a startup.
About The Team
Tidal is a team at X working on a moonshot to protect the ocean and preserve its ability to support life and help feed humanity, sustainably. Our initial area of focus is on developing hardware and software technologies that bring greater visibility and understanding of whats happening under the water. Learn more about Project Tidal .
About The Role
As an Applied Machine Learning Software Engineer at Tidal, you will be working alongside other software engineers, perception experts, and research scientists to develop and deploy state-of-the-art methods to create a platform leveraging perception and machine learning to solve humanitys biggest problems  from food production to renewable energy to climate change  by sustainably utilizing the ocean.
Your role will be to enable developers to run ML workflows smoothly and efficiently. You will develop sustainable, scalable solutions to ensure the reliability and performance of these ML workflows, improve engineer productivity and ultimately help advance our Perception and ML Platform. If you love getting tech to work on challenging, real world problems, please apply!
How You Will Make 10X Impact
Work with our customers to understand the problem space, run experiments, collect data, and design novel and breakthrough ML solutions Profile ML performance at both model level and system level, identify performance bottlenecks and optimization opportunitiesImprove and streamline large-scale machine learning workflows for training and inference by analyzing, understanding, and fixing bottlenecksEnable better component-wise testing of training workflowsAutomate data uploadprocessingtrainingevaluatingdeployingoptimizing pipelines and develop monitoring and notification tooling to track statistics of the pipelines, improving debuggability and introspection into these complex workflowsRespond to and resolve emergent problems in production; test ML training pipelines; write software and build automation to prevent problem recurrenceKeep track of major changes and trends in infrastructure and enable adoption of new frameworks and systems without significant impact on development workEngage in capacity planning, quota management, and demand forecasting for ML workflowsCollaborate with stakeholder teams to implement and evolve large-scale Machine Learning infrastructure
What You Should Have
BS degree in Computer Science or a related field, or equivalent practical experienceStrong programming skills in Python andor C++Expertise in data structures, algorithms and complexity analysis.Experience designing, analyzing, and troubleshooting large-scale distributed systems, especially enterprise cloud services (e.g., GCP, AWS)Experience with ML platforms, solutions, and infrastructure deployed to solve real world problems
Itd Be Great If You Also Had These
Experience with C++ andor GoExperience with TensorFlow or PytorchExperience with SQL or similar, and parallel data processing pipelines (e.g. Flume, Apache Beam)Expertise in architecting and deploying machine learning pipelines at scaleExpertise in getting ML models into productionFamiliarity with state-of-the-art ML models for perceptioncomputer vision tasksCustomer-facing experience creating software solutionsMS or PhD degree in Computer Science or a related field, or equivalent practical experience>> the resume: <<Professional SummaryResults-oriented Embedded Software Engineer with three years' experience in analysis, design, development, testing and implementation of various embedded software systems. Strong desire to obtain a responsible and challenging Embedded Software Developer's position where my education and work experience will have valuable application
SkillsProgramming Languages:  C, C++, Java, VHDL,Scripting: Shell, Python, Perl MATLAB, HTML, C#Tools: Microsoft Visual Studio, ADB, QXDM, Trace32, LTE. ModelSimPeripherals: I2C, SPI, QSPI, UART
Work History04/2017toCurrentEmbedded Software EngineerFlowserve Corporation|Emeryville,CA,Design and development on Qualcomm multiprocessor mobile computing platforms.Work closely with the hardware team developing low-level device driver software for solid-state storage devices.Optimize the storage drivers and boot loaders for performance and power consumption across multiple processors.Support the team with failure triage, system debug and customer support to implement and support new features in the storage driver.04/2014to03/2017C, C++ Embedded System Test EngineerEntegris, Inc.|Chandler,AZ,RF system Level Performance Verification and validation: RF system validation through statistical performance assessment, SW and Hardware Build Verification Testing and stability testing.Setting up the test environment to have comparable RF data with specified accuracy and tolerance and measuring various performance parameters for Wireless Transceivers such as Tx Max Power, WFQ, ACLR, EVM, SEM, Sensitivity, ACLR, Rx intermod, etc.at system level.Interfacing with cross functional teams for correlating the RF parametric data correlation, debugging and triaging Tools: QPST, QXDM, QSPR, Call Box, Spectrum analyzer, Signal generator.Test Automation and Scripting and production deployment: Developing and automating tests cases and scripts for large scale production testing of processor chips.Validation included modem and apps processor functional verification and performance measurement.Tools: Trace32, ADB, C#, Microsoft Visual Studio, Perl, Perforce.07/2010to07/2011Development EngineerSciaky Automation Â€“ Pune, Maharashtra India|,,Development of an extensive mechatronic design for a complete automatic assembly of an electric toggle switch to increase production efficiency Tools: PLC, pneumatic actuators, electronic circuit design, ladder programming, optical sensors Academic Projects Gait analysis using low power wireless module: (Graduate Final Project) Implementation of rotation-based routing protocol among on-body sensors to reduce the overall power consumption of the system for accumulating the motion data.Dynamic time Warping algorithm is applied as a feature classification technique to differentiate between human movements based on the motion data.An offline analysis is performed to corroborate the hypothesis and then an on-chip implementation is done for deployment.Tools: Arduino programming, NRF24l01+, C, Java, MATLAB 16 Bit RISC Processor using VHDL: Created a fully synthesizable VHDL model of a 16-bit RISC processor which included designing Registers, ALU, Instruction memory, Data memory, Scratch pad memory and Instruction Set Architecture of 27 instructions with 4 addressing modes and 4 stage pipelining and Interrupt handling features Parametric Cache Simulator Design: Implementation of a parametric cache simulator modelling a memory hierarchy to calculate hit and miss rate for data and victim cache for data cache size, associativity, block size, write policy, victim cache changes.Measuring the tardiness of real-time video workload under LITMUS-RT: Patching of the Linux with LITMUS-RT and using shell and python scripts to measure the average tardiness of the video application to compare the performance of the real time GSN EDF scheduler algorithm to the Linux CFS scheduler for soft real-time video applications.Device Driver Development: Development of modules for Linux based character-device driver capable of echoing the received character and converting the letters to uppercase for communication on UART.The driver was emulated using QEMU emulator for a Bare-metal ARM processor and is a loadable kernel module.Courses Analog and Digital Communication, Analog Integrated Circuit Design and Networks, Embedded Systems, Real Time Operating Systems, Computer Architecture, Introduction to VHDL, Digital signal processing, Advanced Embedded systems.Wireless Sensor networks, Wireless Communications.
EducationExpected in2010totoBachelor of Engineering|Electronics and TelecommunicationUniversity of Pune,,GPA:Electronics and TelecommunicationExpected in2013totoMaster of Science|Electrical EngineeringUniversity of North Carolina at Charlotte,Charlotte,NCGPA:Electrical Engineering
SkillsAcademic, Automation, C, C++, Circuit Design, Hardware, customer support, debugging, designing, Digital signal processing, drivers, Embedded systems, features, flash, functional, GSM, HTML, Instruction, Java, Languages, letters, Linux, MATLAB, Max, memory, C#, modem, Networks, Operating
Systems, Peripherals, Perl, PLC, processors, Programming, Protocols, Python, real-time, Real Time, routing, scripts, Scripting, Shell, Spectrum analyzer, switch, TCP/IP, Validation, VHDL, video, Microsoft Visual Studio>>. The result is, 

Fit assessment: Good Fit