16 Debugging Software Jobs

Modifying software to fix errors, adapt it to new hardware, improve its performance, or upgrade interfaces. Directing software programming and documentation development. Consulting with departments or customers on project status and proposals. Required Candidate profile Ability to develop unit testing of code components or complete applications. Must be a full-stack developer and understand concepts of software engineering. Deep programming language knowledge. Perks and benefits Relocation Allowance. Flexible Work Arrangements.

Responsibilities: * Design, develop, test & maintain mobile apps using Android/iOS, Flutter & React Native * Ensure UI/UX compliance with JSONXML standards * Collaborate with cross-functional teams on project delivery

What You'll Do We are looking for accomplished Machine Learning Engineers with a background in software development and a deep enthusiasm for solving complex problems. You will lead a dynamic team dedicated to designing and implementing a large language model framework to power diverse applications across Avalara. Your responsibilities will span the entire development lifecycle, including conceptualization, prototyping, development, and delivery of the LLM platform features. You will build core agent infrastructureA2A orchestration and MCP-driven tool discoveryso teams can launch secure, scalable agent workflows. You will be reporting to Senior Manager, ML Engineering. What Your Responsibilities Will Be We are looking for engineers who can think quick and have a background in implementation. Your responsibilities will include: Build on top of the foundational framework for supporting Large Language Model Applications at Avalara Experience with LLMs - like GPT, Claude, LLama and other Bedrock models Leverage best practices in software development, including Continuous Integration/Continuous Deployment (CI/CD) along with appropriate functional and unit testing in place. Drive innovation by researching and applying the latest technologies and methodologies in machine learning and software development. Write, review, and maintain high-quality code that meets industry standards, contributing to the project's technical expertise. Lead code review sessions, ensuring good code quality and documentation. Mentor junior engineers, promoting a culture of collaboration and Engineering expertise. Proficiency in developing and debugging software with a preference for Python, though familiarity with additional programming languages is valued and encouraged. What You'll Need to be Successful 6+ years of experience building Machine Learning models and deploying them in production environments as part of creating solutions to complex customer problems. Proficiency working in cloud computing environments (AWS, Azure, GCP), Machine Learning frameworks, and software development best practices. Demonstrated experience staying current with breakthroughs in AI/ML, with a focus on GenAI. Experience with design patterns and data structures. Technologies you will work with: Python, LLMs, Agents, A2A, MCP, MLFlow, Docker, Kubernetes, Terraform, AWS, GitLab, Postgres, Prometheus, and Grafana We are the AI & ML enablement group in Avalara. We empower Avalara's Product and Engineering teams with the latest AI & ML capabilities, driving easy-to-use, automated compliance solutions that position Avalara as the industry AI technology leader and the go-to choice for all compliance needs.

What You'll Do We are looking for experienced Machine Learning Engineers with a background in software development and a deep enthusiasm for solving complex problems. You will lead a dynamic team dedicated to designing and implementing a large language model framework to power diverse applications across Avalara. Your responsibilities will span the entire development lifecycle, including conceptualization, prototyping and delivery of the LLM platform features. You will build core agent infrastructureA2A orchestration and MCP-driven tool discoveryso teams can launch secure, scalable agent workflows. You will be reporting to Senior Manager, Machine Learning What Your Responsibilities Will Be We are looking for engineers who can think quick and have a background in implementation. Your responsibilities will include: Build on top of the foundational framework for supporting Large Language Model Applications at Avalara Experience with LLMs - like GPT, Claude, LLama and other Bedrock models Leverage best practices in software development, including Continuous Integration/Continuous Deployment (CI/CD) along with appropriate functional and unit testing in place. Promote innovation by researching and applying the latest technologies and methodologies in machine learning and software development. Write, review, and maintain high-quality code that meets industry standards, contributing to the project's. Lead code review sessions, ensuring good code quality and documentation. Mentor junior engineers, encouraging a culture of collaboration Proficiency in developing and debugging software with a preference for Python, though familiarity with additional programming languages is valued and encouraged. What You'll Need to be Successful 6+ years of experience building Machine Learning models and deploying them in production environments as part of creating solutions to complex customer problems. Proficiency working in cloud computing environments (AWS, Azure, GCP), Machine Learning frameworks, and software development best practices. Experience working with technological innovations in AI & ML(esp. GenAI) and apply them. Experience with design patterns and data structures. Good analytical, design and debugging skills. Technologies you will work with: Python, LLMs, Agents, A2A, MCP, MLFlow, Docker, Kubernetes, Terraform, AWS, GitLab, Postgres, Prometheus, and Grafana We are the AI & ML enablement group in Avalara.

What You'll Do We are looking for experienced Machine Learning Engineer with a background in software development and a deep enthusiasm for solving complex problems. You will lead a dynamic team dedicated to designing and implementing a large language model framework to power diverse applications across Avalara. Your responsibilities as a Senior Technical Lead will span the entire development lifecycle, including conceptualization, prototyping and delivery of the LLM platform features. You will be reporting to Senior Manager, Software Engineering What Your Responsibilities Will Be You have a blend of technical skills in the fields of AI & Machine Learning especially with LLMs and a deep-seated understanding of software development practices where you'll work with a team to ensure our systems are scalable, performant and accurate. We are looking for engineers who can think quick and have a background in implementation. Your responsibilities will include: Build on top of the foundational framework for supporting Large Language Model Applications at Avalara Experience with LLMs - like GPT, Claude, LLama and other Bedrock models Leverage best practices in software development, including Continuous Integration/Continuous Deployment (CI/CD) along with appropriate functional and unit testing in place. Inspire creativity by researching and applying the latest technologies and methodologies in machine learning and software development. Write, review, and maintain high-quality code that meets industry standards, contributing to the project's. Lead code review sessions, ensuring good code quality and documentation. Mentor junior engineers, encouraging a culture of collaboration Proficiency in developing and debugging software with a preference for Python, though familiarity with additional programming languages is valued and encouraged. What You'll Need to be Successful 8+ years of experience building Machine Learning models and deploying them in production environments as part of creating solutions to complex customer problems. Bachelor's degree with computer science exposure Proficiency working in cloud computing environments (AWS, Azure, GCP), Machine Learning frameworks, and software development best practices. With technological innovations in AI & ML(esp. GenAI). Expertise in design patterns, data structures, distributed systems, and experience with cloud technologies. Good analytical, design and debugging skills. Technologies you will work with: Python, LLMs, MLFlow, Docker, Kubernetes, Terraform, AWS, GitLab, Postgres, Prometheus, Grafana

Hiring Junior Software Engineers in Delhi, Hyderabad, Chennai. Work on frontend (React, Next.js) & backend (Java, Node.js) in a hybrid setup. Salary: 40–55K/month. Freshers welcome. Share your resume & portfolio to apply. Perks and benefits A collaborative, Gen Z-led culture

Job Area: Engineering Services Group, Engineering Services Group > Support Engineering General Summary: Job Overview: Qualcomm is a company of inventors that unlocked On device AI and 5G - ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform On deviec AI and 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in. QUALCOMM is the world's leading developer of next generation wireless and multimedia technology. Immediate opportunities exist in QUALCOMM's Audio Systems Group to work in the area of audio and speech signal processing, developing audio solutions for next generation multimedia solutions for Mobile, XR, Compute, IoT and Automotive products. You will be part of the Audio Systems and R&D team developing system design for Qualcomm Snapdragon platforms.We are seeking candidates with technical excellence in audio domain and creativity to apply their technical knowledge to exciting new cutting-edge audio technologies. Responsibilities: The selected candidate will have responsibilities in one or more of the following areas: Audio system design, leading to both reference design and intellectual property (IP) End-to-end HW-SW Audio system design, development, prototyping, performance validation and commercialization of new audio features/technologies that meet performance, power, robustness and stability metrics on Qualcomm platforms Performance analysis of Audio Subsystem Developing singal processing and Machine learning audio features Responsibilities also includes requirement analysis, troubleshooting of complex issues, functional and performance testing of the Audio solutions Understanding of fixed point and floating point arithmetic Acoustic performance test and measurements Demo prototyping and preparation Working with both internal customer engineering teams and customers for successful commercialization. All Qualcomm employees are expected to actively support diversity on their teams, and in the Company. Proven ability to work in a dynamic, multi-tasked environment Self-starter who likes to be challenged and solve tough complex problems Excellent verbal and written communication and presentation skills. Quick learner, self-motivated, able to work independently and a Team player. Aspiration for excellence. Working in cross disciplinary, geographically-dispersed teams Minimum Qualifications: Bachelor's degree and 1+ year of Support Engineering or related work experience. OR Associate's degree and 2+ years of Support Engineering or related work experience. OR High School Diploma or equivalent and 3+ years of Support Engineering or related work experience. *Completed advanced degree in a relevant field may be substituted for up to one year (Master’s = one year) of work experience. : Solid background in audio signal processing fundamentals Strong programming skills in Embedded C/C++, Matlab, and Python Expertise working on Machine Learning models for audio Expertise in developing and debugging software on any embedded platforms Knowledge of any DSP architecture, real time operating system concepts Knowledge of software design patterns, multi-threaded programming, data structures and basic algorithms Extertise in fixed point and floating point implementation Expertise in audio system design, acoustic measurements and performance analysis DSP intrinsic and assembly programming is plus Educational Qualification: Master’s/PhD degree in Engineering, Electronics and communication, Computer Science or related filed. KeywordsSignal processing, Audio processing, speech processing, DSP, Audio Model

What You'll Do We are looking for experienced Machine Learning Engineers with a background in software development and a deep enthusiasm for solving complex problems. You will lead a dynamic team dedicated to designing and implementing a large language model framework to power diverse applications across Avalara. Your responsibilities will span the entire development lifecycle, including conceptualization, prototyping and delivery of the LLM platform features. You will have a blend of technical skills in the fields of AI & Machine Learning especially with LLMs and a deep-seated understanding of software development practices where you'll work with a team to ensure our systems are scalable, performant and accurate. You will be reporting to Senior Manager, AI/ML. What Your Responsibilities Will Be We are looking for engineers who can think quick and have a background in implementation. Your responsibilities will include: Build on top of the foundational framework for supporting Large Language Model Applications at Avalara Experience with LLMs - like GPT, Claude, LLama and other Bedrock models Leverage best practices in software development, including Continuous Integration/Continuous Deployment (CI/CD) along with appropriate functional and unit testing in place. Inspire creativity by researching and applying the latest technologies and methodologies in machine learning and software development. Write, review, and maintain high-quality code that meets industry standards. Lead code review sessions, ensuring good code quality and documentation. Mentor junior engineers, encouraging a culture of collaboration. Proficiency in developing and debugging software with a preference for Python, though familiarity with additional programming languages is valued and encouraged. What You'll Need to be Successful Bachelor's/Master's degree in computer science with 5+ years of industry experience in software development, along with experience building Machine Learning models and deploying them in production environments. Proficiency working in cloud computing environments (AWS, Azure, GCP), Machine Learning frameworks, and software development best practices. Work with technological innovations in AI & ML(esp. GenAI) Experience with design patterns and data structures. Good analytical, design and debugging skills. Technologies you will work with: Python, LLMs, MLFlow, Docker, Kubernetes, Terraform, AWS, GitLab, Postgres, Prometheus, Grafana

Responsible for the design, development, & validation of embedded hardware & software solutions utilizing 8-bit, 16-bit, and 32-bit microcontrollers Application across a range of power electronic systems- Airborne Power Supplies, Programmable AC-DC Required Candidate profile Experience in embedded firmware development for power electronic systems. Strong proficiency in C/C++ and embedded system development tools (e.g., Keil, IAR, Code Composer Studio, etc.).

Job Area: Engineering Group, Engineering Group > Software Test Engineering General Summary: Description Snapdragon Studios is seeking a PC Game Tester to execute test plans and ensure the best gaming experience on Windows on Arm Snapdragon platforms.The ideal candidate is comfortable with testing PC games, familiarity with the various game storefronts and can dig deeper on performance and/or report clear and concisely issues encountered on the games tested. This is a unique opportunity to triage and investigate Windows application failures in a new environment on Snapdragon Windows devices. At the heart of Snapdragon Studios, we are passionate about next generation gaming technologies and delivering exceptional gaming experiences. Our highly creative teams are full of veteran game developers, artists, game engine experts and graphics enthusiasts who work on our latest GPU and gaming hardware innovations around mobile, PC, and XR. Minimum Qualifications Experience testing video games (3-5 Years) Technical understanding of game technologies, quality setting permutations, performance, etc. Ability to find, reproduce, and clearly report issues Excellent ability to infer and recognize patterns Excellent written and verbal communication skills Self-motivated Preferred Qualifications Experience using Windows debugging software stack (WinDBG, EventViewer, etc.) Experience with test automation and reporting tools/scripts Performance reporting via tools such as FRAPS, WPR, PresentMon, etc. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Test Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Test Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 1+ year of work or academic experience with Software Test or System Test, developing and automating test plans and/or tools (e.g., Source Code Control Systems, Continuous Integration Tools, and Bug Tracking Tools).

What You'll Do. We are looking for experienced Machine Learning Engineers with a background in software development and a deep enthusiasm for solving complex problems. You will lead a dynamic team dedicated to designing and implementing a large language model framework to power diverse applications across Avalara. Your responsibilities will span the entire development lifecycle, including conceptualization, prototyping and delivery of the LLM platform features. You will build core agent infrastructure—A2A orchestration and MCP-driven tool discovery—so teams can launch secure, scalable agent workflows. You will be reporting to Senior Manager, Machine Learning. What Your Responsibilities Will Be. We are looking for engineers who can think quick and have a background in implementation. Your responsibilities will include:. Build on top of the foundational framework for supporting Large Language Model Applications at Avalara. Experience with LLMs like GPT, Claude, LLama and other Bedrock models. Leverage best practices in software development, including Continuous Integration/Continuous Deployment (CI/CD) along with appropriate functional and unit testing in place.. Promote innovation by researching and applying the latest technologies and methodologies in machine learning and software development.. Write, review, and maintain high-quality code that meets industry standards, contributing to the project's.. Lead code review sessions, ensuring good code quality and documentation.. Mentor junior engineers, encouraging a culture of collaboration. Proficiency in developing and debugging software with a preference for Python, though familiarity with additional programming languages is valued and encouraged.. What You’ll Need To Be Successful. 6+ years of experience building Machine Learning models and deploying them in production environments as part of creating solutions to complex customer problems.. Proficiency working in cloud computing environments (AWS, Azure, GCP), Machine Learning frameworks, and software development best practices.. Experience working with technological innovations in AI & ML(esp. GenAI) and apply them.. Experience with design patterns and data structures.. Good analytical, design and debugging skills.. Technologies You Will Work With. Python, LLMs, Agents, A2A, MCP, MLFlow, Docker, Kubernetes, Terraform, AWS, GitLab, Postgres, Prometheus, and Grafana. We are the AI & ML enablement group in Avalara.. This is a remote position.. How We’ll Take Care Of You. Total Rewards. In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses.. Health & Wellness. Benefits vary by location but generally include private medical, life, and disability insurance.. Inclusive culture and diversity. Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship.. What You Need To Know About Avalara. We’re Avalara. We’re defining the relationship between tax and tech.. We’ve already built an industry-leading cloud compliance platform, processing nearly 40 billion customer API calls and over 5 million tax returns a year, and this year we became a billion-dollar business. Our growth is real, and we’re not slowing down until we’ve achieved our mission to be part of every transaction in the world.. We’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. Ownership and achievement go hand in hand here. We instill passion in our people through the trust we place in them.. We’ve been different from day one. Join us, and your career will be too.. We’re An Equal Opportunity Employer. Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.. Show more Show less

What You'll Do. We are looking for accomplished Machine Learning Engineers with a background in software development and a deep enthusiasm for solving complex problems. You will lead a dynamic team dedicated to designing and implementing a large language model framework to power diverse applications across Avalara. Your responsibilities will span the entire development lifecycle, including conceptualization, prototyping, development, and delivery of the LLM platform features. You will build core agent infrastructure—A2A orchestration and MCP-driven tool discovery—so teams can launch secure, scalable agent workflows. You will be reporting to Senior Manager, ML Engineering.. What Your Responsibilities Will Be. We are looking for engineers who can think quick and have a background in implementation. Your responsibilities will include:. Build on top of the foundational framework for supporting Large Language Model Applications at Avalara. Experience with LLMs like GPT, Claude, LLama and other Bedrock models. Leverage best practices in software development, including Continuous Integration/Continuous Deployment (CI/CD) along with appropriate functional and unit testing in place.. Drive innovation by researching and applying the latest technologies and methodologies in machine learning and software development.. Write, review, and maintain high-quality code that meets industry standards, contributing to the project's technical expertise.. Lead code review sessions, ensuring good code quality and documentation.. Mentor junior engineers, promoting a culture of collaboration and Engineering expertise.. Proficiency in developing and debugging software with a preference for Python, though familiarity with additional programming languages is valued and encouraged.. What You’ll Need To Be Successful. 6+ years of experience building Machine Learning models and deploying them in production environments as part of creating solutions to complex customer problems.. Proficiency working in cloud computing environments (AWS, Azure, GCP), Machine Learning frameworks, and software development best practices.. Demonstrated experience staying current with breakthroughs in AI/ML, with a focus on GenAI.. Experience with design patterns and data structures.. Technologies You Will Work With. Python, LLMs, Agents, A2A, MCP, MLFlow, Docker, Kubernetes, Terraform, AWS, GitLab, Postgres, Prometheus, and Grafana. We are the AI & ML enablement group in Avalara.. We empower Avalara's Product and Engineering teams with the latest AI & ML capabilities, driving easy-to-use, automated compliance solutions that position Avalara as the industry AI technology leader and the go-to choice for all compliance needs.. This is a remote position.. How We’ll Take Care Of You. Total Rewards. In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses.. Health & Wellness. Benefits vary by location but generally include private medical, life, and disability insurance.. Inclusive culture and diversity. Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship.. What You Need To Know About Avalara. We’re Avalara. We’re defining the relationship between tax and tech.. We’ve already built an industry-leading cloud compliance platform, processing nearly 40 billion customer API calls and over 5 million tax returns a year, and this year we became a billion-dollar business. Our growth is real, and we’re not slowing down until we’ve achieved our mission to be part of every transaction in the world.. We’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. Ownership and achievement go hand in hand here. We instill passion in our people through the trust we place in them.. We’ve been different from day one. Join us, and your career will be too.. We’re An Equal Opportunity Employer. Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.. Show more Show less

Strong in Embedded C, coding 8 / 16 / 32-bit micro controllers e.g pic, stm series. communication protocols (e.g. UART, SPI, I2C etc.) programming ADC/DAC software debugging skills, Capable of understanding Schematic design.

Primary skills: Bachelor's or Master’s degree in electronics or similar 4-6 years of experience in automotive embedded software development Need AUTOSAR Hands-on with different ports, interfaces , and configurations Need Hands-on with OS Runnable configuration and NVM updates Need Hands-on with RTE configuration and source generation Hands-on with Davinci Configurator or equivalent Strong understanding of Compilation and linking processes. Debug skills to identify the route cause in case of build failure. Strong knowledge of version control systems (i.e. PTC integrity ) Good hands-on with the build process (build configurations for Pre/Post-build steps and build setup to a new project) Good Scripting ( Batch/Python ) knowledge to automate and debug the existing tools Knowledge to analyse map files and Hex files . Required to find the anomalies in RAM/ROM usage Good to have integration test bench preparation. To perform basic tests before final delivery and support the development teams to identify the cause of failure during CI. Secondary skills : CMM Scripts Exposure to Module/Integration/Qualification testing DOORs knowledge HIL (Control Desk, Automation desk) or LabCar/SoftCar

Job Description 1. Experience in Software Verification with minimum 3 years’ experience 2. Experience in C, C++, Python programming skills with minimum 3 years’ experience 3. Expertise in using debuggers, simulators & good knowledge on structural coverage tools like VectorCover, LDRA, TCA, CodeTest and TRACE 32 etc. 4. Experience in Change Impact Analysis (RA, DRAT), Tool Qual, SOI#3 Audits will be considered as plus. 5. Good Knowledge in Structural coverage tools (Vector Cover, LDRA, RTRT), DOORS, JIRA, Bitbucket Experience. 6. Strong technical skills with emphasis in the areas of software verification processes, TSO certification and DO-178B/C design assurance guidelines. 7. F10X Honeywell programme knowledge is added advantage. Roles and Responsibilities Job Description Summary Under direct supervision, works on the architecture and applied knowledge of coding an electronic microcontroller or components and ensure product works to specification. Assists in coding, testing, and debugging software or making enhancements to existing software . Writes programs according to specifications from higher level staff or Technical team.

Dear Candidate, We are hiring an Embedded Software Engineer to develop firmware and embedded systems for IoT and hardware applications. The role requires expertise in low-level programming, microcontrollers, and real-time systems. Key Responsibilities: Develop and debug embedded software in C/C++ for microcontrollers. Work with real-time operating systems (RTOS) such as FreeRTOS or Zephyr. Interface with sensors, peripherals, and communication protocols like I2C, SPI, and UART. Optimize power consumption and system performance. Perform firmware testing and debugging. Required Skills & Qualifications: Programming: C, C++, Python Microcontrollers: ARM Cortex, ESP32, STM32 RTOS: FreeRTOS, Zephyr Communication Protocols: I2C, SPI, UART, MQTT Experience with IoT security and wireless communication (BLE, Zigbee) is a plus. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies