Job Description – Senior Full-Stack Engineer **Position Title:** Full-Stack Engineer (Senior Level) **Location:** Ahmedabad, India – On-site only (strictly no remote or hybrid) **Experience Required:** 10–15 years **Compensation:** Competitive and flexible, with no upper limit; commensurate with qualifications and deep domain expertise About the Role We are seeking an accomplished Senior Full-Stack Engineer with 10 to 15 years of proven expertise in building, scaling, and maintaining enterprise-grade applications. This is a senior leadership role, ideal for professionals who combine deep technical mastery with strong domain knowledge and a passion for mentoring teams. The successful candidate will be based in our Ahmedabad office and play a pivotal role in shaping innovative, domain-specific solutions for our business. Key Responsibilities · Lead the design and implementation of scalable, secure, and high-performance applications across front-end and back-end layers. · Drive end-to-end development efforts, ensuring code quality, performance optimization, and best practices. · Apply deep domain expertise to create industry-relevant solutions tailored to business needs. · Guide, mentor, and upskill junior and mid-level engineers, fostering a culture of continuous learning and innovation. · Work closely with product managers, designers, QA teams, and business stakeholders to deliver seamless user experiences. · Evaluate emerging technologies and propose strategic improvements to existing systems and processes. Technical Skills & Competencies · Front-End Expertise: · Advanced proficiency in JavaScript/TypeScript, React.js, Angular, or Vue.js · Strong knowledge of HTML5, CSS3, SASS/LESS, responsive design, and accessibility standards · Experience with state management (Redux, MobX, etc.) and front-end build tools (Webpack, Vite, etc.) · Back-End Mastery: · Hands-on expertise in Node.js, Python, Java, or .NET Core · Strong knowledge of RESTful APIs, GraphQL, microservices, and event-driven architectures · Proficiency in databases: SQL (PostgreSQL, MySQL, MSSQL) and NoSQL (MongoDB, Redis, Cassandra) · Deep understanding of system performance, scalability, and security practices · Additional Tools & Platforms: · Cloud services: AWS, Azure, or GCP (with experience in deployment, CI/CD, and containerization using Docker/Kubernetes) · Version control & collaboration: Git, GitHub/GitLab, Bitbucket · Testing frameworks: Jest, Mocha, Cypress, JUnit, PyTest, etc. · Familiarity with DevOps workflows, monitoring, and logging tools Qualifications · Bachelor’s or Master’s degree in Computer Science, Engineering, or related field · Relevant industry certifications (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect, Google Cloud Professional) are highly desirable · Demonstrated experience delivering full-stack solutions within domain-specific contexts (e.g., fintech, telematics, AI/ML, enterprise SaaS, or IoT platforms) Soft Skills · Proven ability to lead engineering teams and drive initiatives independently · Strong interpersonal and communication skills for effective stakeholder engagement · Exceptional problem-solving, debugging, and decision-making capabilities · Ability to thrive in a fast-paced, evolving environment while balancing strategic and tactical priorities Why Join Us? · Opportunity to influence core architecture and domain-specific product development · Flexible, competitive compensation package with no upper cap for the right candidate · Collaborative and innovation-driven culture in our state-of-the-art Ahmedabad facility · Direct impact on building mission-critical technology solutions Application Process If you meet the criteria and are ready to commit to working on-site in Ahmedabad, please submit your resume and portfolio/links to relevant projects you can also share your resume at Santosh.Koka@omnidya.com .
Job Title: Principal Full Stack Engineer | US Projects (Ahmedabad On-site) Location: Ahmedabad, Gujarat, India (On-site is mandatory) The Opportunity: Architect, Lead, and Define We are seeking a true technical authority—a Principal Full Stack Engineer with a decade or more of experience architecting and delivering mission-critical software. This is not a role for a feature developer; it is an opportunity for a strategic leader to take complete ownership of complex technical domains, mentor a high-caliber team, and set the engineering standard for projects aligned with the pace and quality of top-tier US technology firms. You will be the engineering bedrock for key initiatives, making foundational decisions that dictate scalability, performance, and long-term success. If you are a first-principles thinker who thrives on solving ambiguous, high-impact problems, this role offers the challenge and autonomy you seek. What You'll Architect & Own: End-to-End System Leadership: Drive the technical vision, architectural design, and implementation of robust, scalable, and secure full-stack applications. Complex Problem Decomposition: Deconstruct intricate business challenges into elegant, maintainable, and scalable technical solutions, applying deep knowledge of algorithms, data structures, and distributed systems. Technical Excellence & Mentorship: Champion engineering best practices through rigorous code reviews, architectural guidance, and mentorship. You will be responsible for elevating the technical acumen of the entire team. Strategic Collaboration: Partner strategically with product, design, and business leaders to translate vision into a concrete technical roadmap, ensuring solutions are not only technically sound but also commercially impactful. Futureproofing the Platform: Evaluate and integrate emerging technologies, with a particular focus on the application of AI, to maintain our competitive edge and drive innovation. The Profile: What You Bring Decade of Mastery: 10-15 years of progressive, hands-on experience in full-stack engineering, with a portfolio of complex, scalable systems delivered to production. US Market Acumen (Essential): Proven track record of working within or for US-based companies. You inherently understand the communication standards, agile velocity, and uncompromising quality expectations of that ecosystem. Foundational Excellence: An unshakeable command of Computer Science fundamentals: data structures, algorithms, system design, and architectural patterns are your native language. Expert-level ability to design and reason about distributed systems, microservices architecture, and API paradigms (REST, GraphQL). Technical Expertise: Mastery of a modern back-end language (e.g., Node.js, Python, Go, Java, .NET) and its corresponding frameworks for building enterprise-grade services. Deep proficiency with a modern front-end framework (e.g., React, Angular, Vue.js) and the nuances of building sophisticated, performant user interfaces. Comprehensive experience with both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Redis) databases, understanding the trade-offs for specific use cases. Strong cloud-native background (AWS, GCP, or Azure), including hands-on experience with containerization (Docker, Kubernetes) and CI/CD pipelines. The Strategic Edge: AI & ML Exposure (Preferred) Demonstrable experience or a strong professional interest in integrating artificial intelligence or machine learning models into applications. Familiarity with data pipelines, MLOps concepts, or the challenges of operationalizing AI at scale is a significant advantage. Why This Is Your Next Move We are offering more than a job; we are offering influence. You will have the mandate to shape core products and the resources to build them right. We recognize that exceptional talent deserves exceptional compensation, which is why our package is highly competitive and has no predefined upper limit for a candidate who demonstrates profound expertise. Join us in our state-of-the-art Ahmedabad facility and build technology that matters. #PrincipalEngineer #FullStackDeveloper #AhmedabadJobs #TechJobs #SystemDesign #SoftwareArchitecture #USProjects #AI #CloudNative #NodeJS #React #Python #Java Job Title: Principal Full Stack Engineer | US Projects (Ahmedabad On-site) Location: Ahmedabad, Gujarat, India (On-site is mandatory) The Opportunity: Architect, Lead, and Define We are seeking a true technical authority—a Principal Full Stack Engineer with a decade or more of experience architecting and delivering mission-critical software. This is not a role for a feature developer; it is an opportunity for a strategic leader to take complete ownership of complex technical domains, mentor a high-caliber team, and set the engineering standard for projects aligned with the pace and quality of top-tier US technology firm. You will be the engineering bedrock for key initiatives, making foundational decisions that dictate scalability, performance, and long-term success. If you are a first-principles thinker who thrives on solving ambiguous, high-impact problems, this role offers the challenge and autonomy you seek. What You'll Architect & Own: End-to-End System Leadership: Drive the technical vision, architectural design, and implementation of robust, scalable, and secure full-stack applications. Complex Problem Decomposition: Deconstruct intricate business challenges into elegant, maintainable, and scalable technical solutions, applying deep knowledge of algorithms, data structures, and distributed systems. Technical Excellence & Mentorship: Champion engineering best practices through rigorous code reviews, architectural guidance, and mentorship. You will be responsible for elevating the technical acumen of the entire team. Strategic Collaboration: Partner strategically with product, design, and business leaders to translate vision into a concrete technical roadmap, ensuring solutions are not only technically sound but also commercially impactful. Future-Proofing the Platform: Evaluate and integrate emerging technologies, with a particular focus on the application of AI, to maintain our competitive edge and drive innovation. The Profile: What You Bring Decade of Mastery: 10-15 years of progressive, hands-on experience in full-stack engineering, with a portfolio of complex, scalable systems delivered to production. US Market Acumen (Essential): Proven track record of working within or for US-based companies. You inherently understand the communication standards, agile velocity, and uncompromising quality expectations of that ecosystem. Foundational Excellence: An unshakeable command of Computer Science fundamentals: data structures, algorithms, system design, and architectural patterns are your native language. Expert-level ability to design and reason about distributed systems, microservices architecture, and API paradigms (REST, GraphQL). Technical Expertise: Mastery of a modern back-end language (e.g., Node.js, Python, Go, Java, .NET) and its corresponding frameworks for building enterprise-grade services. Deep proficiency with a modern front-end framework (e.g., React, Angular, Vue.js) and the nuances of building sophisticated, performant user interfaces. Comprehensive experience with both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Redis) databases, understanding the trade-offs for specific use cases. Strong cloud-native background (AWS, GCP, or Azure), including hands-on experience with containerization (Docker, Kubernetes) and CI/CD pipelines. The Strategic Edge: AI & ML Exposure (Preferred) Demonstrable experience or a strong professional interest in integrating artificial intelligence or machine learning models into applications. Familiarity with data pipelines, MLOps concepts, or the challenges of operationalizing AI at scale is a significant advantage. Why This Is Your Next Move We are offering more than a job; we are offering influence. You will have the mandate to shape core products and the resources to build them right. We recognize that exceptional talent deserves exceptional compensation, which is why our package is highly competitive and has no predefined upper limit for a candidate who demonstrates profound expertise. Join us in our state-of-the-art Ahmedabad facility and build technology that matters. #PrincipalEngineer #FullStackDeveloper #AhmedabadJobs #TechJobs #SystemDesign #SoftwareArchitecture #USProjects #AI #CloudNative #NodeJS #React #Python #Java
Job Title: Principal Full Stack Engineer | US Projects (Ahmedabad On-site) Location: Ahmedabad, Gujarat, India (On-site is mandatory) The Opportunity: Architect, Lead, and Define We are seeking a true technical authoritya Principal Full Stack Engineer with a decade or more of experience architecting and delivering mission-critical software. This is not a role for a feature developer; it is an opportunity for a strategic leader to take complete ownership of complex technical domains, mentor a high-caliber team, and set the engineering standard for projects aligned with the pace and quality of top-tier US technology firms. You will be the engineering bedrock for key initiatives, making foundational decisions that dictate scalability, performance, and long-term success. If you are a first-principles thinker who thrives on solving ambiguous, high-impact problems, this role offers the challenge and autonomy you seek. What You'll Architect & Own: End-to-End System Leadership: Drive the technical vision, architectural design, and implementation of robust, scalable, and secure full-stack applications. Complex Problem Decomposition: Deconstruct intricate business challenges into elegant, maintainable, and scalable technical solutions, applying deep knowledge of algorithms, data structures, and distributed systems. Technical Excellence & Mentorship: Champion engineering best practices through rigorous code reviews, architectural guidance, and mentorship. You will be responsible for elevating the technical acumen of the entire team. Strategic Collaboration: Partner strategically with product, design, and business leaders to translate vision into a concrete technical roadmap, ensuring solutions are not only technically sound but also commercially impactful. Futureproofing the Platform: Evaluate and integrate emerging technologies, with a particular focus on the application of AI, to maintain our competitive edge and drive innovation. The Profile: What You Bring Decade of Mastery: 10-15 years of progressive, hands-on experience in full-stack engineering, with a portfolio of complex, scalable systems delivered to production. US Market Acumen (Essential): Proven track record of working within or for US-based companies. You inherently understand the communication standards, agile velocity, and uncompromising quality expectations of that ecosystem. Foundational Excellence: An unshakeable command of Computer Science fundamentals: data structures, algorithms, system design, and architectural patterns are your native language. Expert-level ability to design and reason about distributed systems, microservices architecture, and API paradigms (REST, GraphQL). Technical Expertise: Mastery of a modern back-end language (e.g., Node.js, Python, Go, Java, .NET) and its corresponding frameworks for building enterprise-grade services. Deep proficiency with a modern front-end framework (e.g., React, Angular, Vue.js) and the nuances of building sophisticated, performant user interfaces. Comprehensive experience with both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Redis) databases, understanding the trade-offs for specific use cases. Strong cloud-native background (AWS, GCP, or Azure), including hands-on experience with containerization (Docker, Kubernetes) and CI/CD pipelines. The Strategic Edge: AI & ML Exposure (Preferred) Demonstrable experience or a strong professional interest in integrating artificial intelligence or machine learning models into applications. Familiarity with data pipelines, MLOps concepts, or the challenges of operationalizing AI at scale is a significant advantage. Why This Is Your Next Move We are offering more than a job; we are offering influence. You will have the mandate to shape core products and the resources to build them right. We recognize that exceptional talent deserves exceptional compensation, which is why our package is highly competitive and has no predefined upper limit for a candidate who demonstrates profound expertise. Join us in our state-of-the-art Ahmedabad facility and build technology that matters. #PrincipalEngineer #FullStackDeveloper #AhmedabadJobs #TechJobs #SystemDesign #SoftwareArchitecture #USProjects #AI #CloudNative #NodeJS #React #Python #Java Job Title: Principal Full Stack Engineer | US Projects (Ahmedabad On-site) Location: Ahmedabad, Gujarat, India (On-site is mandatory) The Opportunity: Architect, Lead, and Define We are seeking a true technical authoritya Principal Full Stack Engineer with a decade or more of experience architecting and delivering mission-critical software. This is not a role for a feature developer; it is an opportunity for a strategic leader to take complete ownership of complex technical domains, mentor a high-caliber team, and set the engineering standard for projects aligned with the pace and quality of top-tier US technology firm. You will be the engineering bedrock for key initiatives, making foundational decisions that dictate scalability, performance, and long-term success. If you are a first-principles thinker who thrives on solving ambiguous, high-impact problems, this role offers the challenge and autonomy you seek. What You'll Architect & Own: End-to-End System Leadership: Drive the technical vision, architectural design, and implementation of robust, scalable, and secure full-stack applications. Complex Problem Decomposition: Deconstruct intricate business challenges into elegant, maintainable, and scalable technical solutions, applying deep knowledge of algorithms, data structures, and distributed systems. Technical Excellence & Mentorship: Champion engineering best practices through rigorous code reviews, architectural guidance, and mentorship. You will be responsible for elevating the technical acumen of the entire team. Strategic Collaboration: Partner strategically with product, design, and business leaders to translate vision into a concrete technical roadmap, ensuring solutions are not only technically sound but also commercially impactful. Future-Proofing the Platform: Evaluate and integrate emerging technologies, with a particular focus on the application of AI, to maintain our competitive edge and drive innovation. The Profile: What You Bring Decade of Mastery: 10-15 years of progressive, hands-on experience in full-stack engineering, with a portfolio of complex, scalable systems delivered to production. US Market Acumen (Essential): Proven track record of working within or for US-based companies. You inherently understand the communication standards, agile velocity, and uncompromising quality expectations of that ecosystem. Foundational Excellence: An unshakeable command of Computer Science fundamentals: data structures, algorithms, system design, and architectural patterns are your native language. Expert-level ability to design and reason about distributed systems, microservices architecture, and API paradigms (REST, GraphQL). Technical Expertise: Mastery of a modern back-end language (e.g., Node.js, Python, Go, Java, .NET) and its corresponding frameworks for building enterprise-grade services. Deep proficiency with a modern front-end framework (e.g., React, Angular, Vue.js) and the nuances of building sophisticated, performant user interfaces. Comprehensive experience with both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Redis) databases, understanding the trade-offs for specific use cases. Strong cloud-native background (AWS, GCP, or Azure), including hands-on experience with containerization (Docker, Kubernetes) and CI/CD pipelines. The Strategic Edge: AI & ML Exposure (Preferred) Demonstrable experience or a strong professional interest in integrating artificial intelligence or machine learning models into applications. Familiarity with data pipelines, MLOps concepts, or the challenges of operationalizing AI at scale is a significant advantage. Why This Is Your Next Move We are offering more than a job; we are offering influence. You will have the mandate to shape core products and the resources to build them right. We recognize that exceptional talent deserves exceptional compensation, which is why our package is highly competitive and has no predefined upper limit for a candidate who demonstrates profound expertise. Join us in our state-of-the-art Ahmedabad facility and build technology that matters. #PrincipalEngineer #FullStackDeveloper #AhmedabadJobs #TechJobs #SystemDesign #SoftwareArchitecture #USProjects #AI #CloudNative #NodeJS #React #Python #Java
Senior Printed Circuit Board Design Engineer About Omnidya Omnidya is a leading insurtech company revolutionizing the insurance industry through innovative technology solutions. We leverage cutting-edge AI, computer vision, and hardware/software integrations to transform insurance processes, risk assessment, and customer experiences. Role Summary We are seeking a highly skilled Senior AI Hardware Engineer with 6-10 years of specialized experience in PCB design for AI computing systems. This role focuses on designing, developing, and optimizing custom circuit boards that integrate GPUs, NPUs, and other AI accelerators for next-generation AI applications. The ideal candidate will have deep expertise in high-performance computing hardware, thermal management for AI workloads, and signal integrity optimization for AI processing systems. This position involves full-cycle AI hardware development from concept to production, working with cutting-edge AI accelerators, high-speed interfaces, and power delivery systems optimized for machine learning workloads. You will collaborate with AI software teams, system architects, and manufacturing partners to deliver robust, scalable AI hardware solutions. Key Responsibilities AI Hardware Design & Development • Lead the design and development of custom PCBs for AI computing applications, including GPU and NPU integration boards • Design high-performance AI accelerator cards with focus on NXP and ARM GPU integration • Develop NPU integration solutions for edge AI applications using Intel Neural Compute Stick, Google Coral, and similar platforms • Create multi-GPU interconnect solutions using NVLink, PCIe Gen4/5, and CXL technologies • Design AI inference accelerator modules for edge computing and embedded AI applications Advanced PCB Design & Signal Integrity • Execute complex PCB layouts for high-speed AI computing systems (12+ layer boards, >1000 pin BGAs) • Optimize signal integrity for high-frequency AI processor interfaces (DDR4/DDR5, HBM2/HBM3) • Design and validate high-speed differential pairs for AI accelerator communication buses • Implement advanced routing techniques for minimizing crosstalk in dense AI computing layouts • Perform pre-silicon signal integrity analysis using industry-standard simulation tools Thermal Management & Power Delivery • Design sophisticated thermal solutions for high-power AI processors (300W+ TDP) • Develop power delivery networks (PDN) for multi-rail AI systems with precise voltage regulation • Implement advanced cooling solutions including liquid cooling interfaces for AI applications • Optimize power efficiency for AI workloads through intelligent power management IC selection • Design thermal monitoring and protection circuits for AI hardware safety AI Hardware Validation & Testing • Develop comprehensive test strategies for AI hardware validation including ML benchmark testing • Perform hardware debugging using advanced tools (high-speed oscilloscopes, logic analyzers, thermal cameras) • Conduct AI workload stress testing and performance optimization • Validate AI hardware against industry standards (PCIe compliance, NVIDIA GPU specifications) • Execute EMI/EMC testing and mitigation for AI computing systems Cross-functional Collaboration • Collaborate with AI software teams to optimize hardware-software co-design for ML workloads • Work with mechanical engineers on thermal and form factor optimization for AI hardware • Partner with manufacturing teams to ensure AI hardware manufacturability and cost optimization • Support field deployment and troubleshooting of AI hardware systems Required Technical Skills & Experience Core AI Hardware Expertise • 6-10 years of experience in embedded/AI hardware design with focus on highperformance computing • Proven experience designing PCBs for GPU integration (NVIDIA GeForce, Quadro, Tesla series) • Hands-on experience with NPU and AI accelerator integration (Intel VPU, Google TPU, Qualcomm NPU) • Deep understanding of AI hardware architectures and computational requirements for ML workloads Advanced PCB Design Skills • Expert proficiency in professional PCB design tools: o Altium Designer (preferred for AI hardware complexity) o Cadence Allegro for high-speed digital design o Mentor Graphics PADS or KiCad for specific applications • Advanced knowledge of high-speed digital design principles and methodologies • Experience with signal integrity analysis tools (HyperLynx, SIwave, HFSS) • Expertise in power integrity analysis and PDN optimization AI-Specific Technical Requirements • Experience with high-bandwidth memory interfaces (HBM2, HBM3, GDDR6/6X) • Knowledge of AI interconnect standards (NVLink, PCIe Gen4/5, CXL, InfiniBand) • Understanding of AI processor power requirements and thermal design considerations • Familiarity with AI software frameworks (TensorFlow, PyTorch) and their hardware implications Hardware Design & Validation • Proficiency with hardware debugging and validation tools: o High-speed oscilloscopes (>10 GHz bandwidth) o Logic analyzers for AI bus protocol analysis o Thermal imaging cameras and power analyzers o JTAG debuggers and boundary scan tools • Experience with DFM/DFT practices for AI hardware manufacturing • Knowledge of EMI/EMC compliance for high-frequency AI systems Industry Standards & Compliance • Understanding of relevant industry standards: o PCI-SIG specifications (PCIe Gen4/5, CEM) o JEDEC standards for memory interfaces o IPC standards for PCB design and manufacturing o NVIDIA GPU design guidelines and AMD GPU specifications Must-Have Qualifications Educational Background • B.E./B.Tech in Electrical Engineering, Computer Engineering, or Electronics Engineering • M.E./M.Tech preferred with focus on VLSI Design, Computer Architecture, or AI Hardware Experience Requirements • Minimum 6 years of hands-on AI hardware or high-performance computing PCB design • At least 3 projects involving GPU or NPU integration from concept to production • Proven track record of AI hardware optimization for performance and power efficiency • Experience with AI hardware bring-up and system-level validation Technical Certifications (Preferred) • IPC Designer Certification (CID or CID+) • NVIDIA hardware partner certification • PCIe compliance testing experience • Altium Designer certification Preferred Qualifications Advanced AI Hardware Experience • Experience with FPGA-based AI acceleration (Xilinx Versal, Intel Stratix) • Knowledge of neuromorphic computing architectures and implementation • Familiarity with quantum computing hardware interfaces • Experience with AI chip design or custom ASIC integration Specialized Applications • Automotive AI hardware design with AEC-Q qualification • Data center AI infrastructure design and optimization • Edge AI systems with power and thermal constraints • AI camera systems with real-time processing requirements Advanced Tools & Technologies • Experience with AI hardware simulation tools (Ansys, Synopsys) • Knowledge of advanced cooling solutions (vapor chambers, liquid cooling) • Familiarity with AI benchmarking and performance analysis tools • Experience with hardware security for AI systems Industry Knowledge • Understanding of AI workload characteristics and hardware optimization • Knowledge of AI hardware trends and emerging technologies • Familiarity with AI hardware startups and ecosystem dynamics • Experience with AI hardware patents and intellectual property What We Offer • Opportunity to work on cutting-edge AI hardware that shapes the future of computing • Collaborative environment with leading AI researchers and engineers • Access to latest AI hardware development tools and technologies • Career growth path in the rapidly expanding AI hardware field • Competitive compensation • Professional development through conferences and training programs Eligibility Requirements • Legal authorization to work in the intended country • Ability to handle confidential and proprietary AI hardware designs • Willingness to travel for hardware validation and customer support (up to 20%) • Strong communication skills for cross-functional collaboration in AI project
Job Title: DevOps Engineer Location: Ahmedabad Department: Engineering & Infrastructure Reports To: CTO ________________________________________ About Omnidya Tech LLP, Hello Omnidya is building India’s first advanced AI-powered dashcam ecosystem for fleet management, safety analytics, and smart transportation. Our platform fuses edge AI processing (ADAS, DMS, ANPR, telematics) with secure cloud connectivity (AWS IoT, S3, MQTT, and real-time streaming). We are seeking a DevOps Engineer to scale our infrastructure, automate build and deployment pipelines, and manage GPU-based AI compute clusters both on-premise and in the cloud. ________________________________________ Role Overview As a DevOps Engineer, you will play a crucial role in automating deployments, managing distributed edge-cloud systems, and maintaining our GPU training and inference environments. You’ll work closely with the AI, firmware, and backend teams to ensure smooth CI/CD workflows, optimal GPU utilization, and high system reliability. ________________________________________ Key Responsibilities 🧩 CI/CD & Automation • Design, build, and maintain CI/CD pipelines using GitLab CI, Jenkins, or GitHub Actions for backend, AI, and firmware builds. • Automate testing and deployment for Yocto-based embedded systems • Create Docker containers and deployment scripts for AI inference and cloud microservices. ☁️ Cloud & Infrastructure Management • Manage and scale AWS infrastructure (IoT Core, EC2, ECR, CloudWatch, Lambda, Route 53). • Set up and maintain Terraform or CloudFormation for Infrastructure as Code (IaC). • Implement robust monitoring, alerting, and log aggregation using Prometheus, Grafana, ELK, or CloudWatch. ⚙️ GPU Rack & Compute Cluster Management • Manage on-premise GPU servers / AI training racks (Ubuntu-based, multi-GPU systems). • Configure, optimize, and monitor GPU utilization for PyTorch / TensorFlow workloads. • Handle CUDA driver updates, containerized training environments, and model deployment pipelines. • Automate job scheduling using Slurm, Docker Swarm, or Kubernetes for GPU workloads. • Monitor performance metrics (GPU load, memory, thermals, power usage) to ensure stable training and inference operations. 📡 Device Integration & Fleet Management • Streamline OTA (Over-The-Air) update pipelines for connected edge devices. • Manage provisioning, authentication, and status monitoring of thousands of IoT devices. • Ensure robust MQTT, REST API, and video data sync between dashcams and the cloud. 🔒 Security & Compliance • Implement AWS IAM policies, TLS/SSL certificates, and secure OTA mechanisms. • Collaborate on device and cloud-level security hardening for regulatory compliance (BIS, ICAT). 📘 Documentation & Collaboration • Document automation flows, deployment topologies, and infrastructure standards. • Collaborate with AI, embedded, and backend teams to align deployment processes across systems. ________________________________________ Required Skills & Experience 🎓 Experience • 3–7 years of experience in DevOps, Cloud Infrastructure, or Site Reliability Engineering. 🛠️ Technical Skills • Linux system administration (Ubuntu, Yocto, Debian) • Containerization: Docker, Podman, Kubernetes (preferably K3s / MicroK8s) • CI/CD Tools: GitLab CI, Jenkins, GitHub Actions • Cloud Platforms: AWS (EC2, IoT Core, S3, Lambda, CloudWatch) • IaC: Terraform, CloudFormation • Monitoring: Prometheus, Grafana, ELK Stack • Networking: VPN, DNS, load balancing, NAT, SSL certificates • GPU Systems: o Hands-on with NVIDIA GPU drivers, CUDA, cuDNN, TensorRT o Experience with GPU workload management, thermal/power profiling, and optimization o Familiarity with multi-GPU training, inference scaling, and model deployment 💡 Bonus Skills • Experience with embedded Linux (Yocto, NXP) • Understanding of RTMP/FLV streaming pipelines or GStreamer • Familiarity with Python microservices (FastAPI / Flask) • Knowledge of AI/ML model lifecycle management (training → quantization → edge inference) ________________________________________ Soft Skills • Strong analytical and problem-solving mindset. • Excellent communication and cross-functional collaboration. • Passion for automation, reliability, and scalability. • Ability to work independently in a fast-paced startup environment. ________________________________________ What We Offer • Competitive salary and performance-based bonuses. • Opportunity to work on cutting-edge edge-AI + GPU infrastructure projects. • Exposure to AWS, IoT, AI training clusters, and fleet-scale deployment systems. • Hybrid work setup and rapid growth opportunities in a high-impact product team.
Senior Printed Circuit Board Design Engineer About Omnidya Omnidya is a leading insurtech company revolutionizing the insurance industry through innovative technology solutions. We leverage cutting-edge AI, computer vision, and hardware/software integrations to transform insurance processes, risk assessment, and customer experiences. Role Summary We are seeking a highly skilled Senior AI Hardware Engineer with 6-10 years of specialized experience in PCB design for AI computing systems. This role focuses on designing, developing, and optimizing custom circuit boards that integrate GPUs, NPUs, and other AI accelerators for next-generation AI applications. The ideal candidate will have deep expertise in high-performance computing hardware, thermal management for AI workloads, and signal integrity optimization for AI processing systems. This position involves full-cycle AI hardware development from concept to production, working with cutting-edge AI accelerators, high-speed interfaces, and power delivery systems optimized for machine learning workloads. You will collaborate with AI software teams, system architects, and manufacturing partners to deliver robust, scalable AI hardware solutions. Key Responsibilities AI Hardware Design & Development • Lead the design and development of custom PCBs for AI computing applications, including GPU and NPU integration boards • Design high-performance AI accelerator cards with focus on NXP and ARM GPU integration • Develop NPU integration solutions for edge AI applications using Intel Neural Compute Stick, Google Coral, and similar platforms • Create multi-GPU interconnect solutions using NVLink, PCIe Gen4/5, and CXL technologies • Design AI inference accelerator modules for edge computing and embedded AI applications Advanced PCB Design & Signal Integrity • Execute complex PCB layouts for high-speed AI computing systems (12+ layer boards, >1000 pin BGAs) • Optimize signal integrity for high-frequency AI processor interfaces (DDR4/DDR5, HBM2/HBM3) • Design and validate high-speed differential pairs for AI accelerator communication buses • Implement advanced routing techniques for minimizing crosstalk in dense AI computing layouts • Perform pre-silicon signal integrity analysis using industry-standard simulation tools Thermal Management & Power Delivery • Design sophisticated thermal solutions for high-power AI processors (300W+ TDP) • Develop power delivery networks (PDN) for multi-rail AI systems with precise voltage regulation • Implement advanced cooling solutions including liquid cooling interfaces for AI applications • Optimize power efficiency for AI workloads through intelligent power management IC selection • Design thermal monitoring and protection circuits for AI hardware safety AI Hardware Validation & Testing • Develop comprehensive test strategies for AI hardware validation including ML benchmark testing • Perform hardware debugging using advanced tools (high-speed oscilloscopes, logic analyzers, thermal cameras) • Conduct AI workload stress testing and performance optimization • Validate AI hardware against industry standards (PCIe compliance, NVIDIA GPU specifications) • Execute EMI/EMC testing and mitigation for AI computing systems Cross-functional Collaboration • Collaborate with AI software teams to optimize hardware-software co-design for ML workloads • Work with mechanical engineers on thermal and form factor optimization for AI hardware • Partner with manufacturing teams to ensure AI hardware manufacturability and cost optimization • Support field deployment and troubleshooting of AI hardware systems Required Technical Skills & Experience Core AI Hardware Expertise • 6-10 years of experience in embedded/AI hardware design with focus on highperformance computing • Proven experience designing PCBs for GPU integration (NVIDIA GeForce, Quadro, Tesla series) • Hands-on experience with NPU and AI accelerator integration (Intel VPU, Google TPU, Qualcomm NPU) • Deep understanding of AI hardware architectures and computational requirements for ML workloads Advanced PCB Design Skills • Expert proficiency in professional PCB design tools: o Altium Designer (preferred for AI hardware complexity) o Cadence Allegro for high-speed digital design o Mentor Graphics PADS or KiCad for specific applications • Advanced knowledge of high-speed digital design principles and methodologies • Experience with signal integrity analysis tools (HyperLynx, SIwave, HFSS) • Expertise in power integrity analysis and PDN optimization AI-Specific Technical Requirements • Experience with high-bandwidth memory interfaces (HBM2, HBM3, GDDR6/6X) • Knowledge of AI interconnect standards (NVLink, PCIe Gen4/5, CXL, InfiniBand) • Understanding of AI processor power requirements and thermal design considerations • Familiarity with AI software frameworks (TensorFlow, PyTorch) and their hardware implications Hardware Design & Validation • Proficiency with hardware debugging and validation tools: o High-speed oscilloscopes (>10 GHz bandwidth) o Logic analyzers for AI bus protocol analysis o Thermal imaging cameras and power analyzers o JTAG debuggers and boundary scan tools • Experience with DFM/DFT practices for AI hardware manufacturing • Knowledge of EMI/EMC compliance for high-frequency AI systems Industry Standards & Compliance • Understanding of relevant industry standards: o PCI-SIG specifications (PCIe Gen4/5, CEM) o JEDEC standards for memory interfaces o IPC standards for PCB design and manufacturing o NVIDIA GPU design guidelines and AMD GPU specifications Must-Have Qualifications Educational Background • B.E./B.Tech in Electrical Engineering, Computer Engineering, or Electronics Engineering • M.E./M.Tech preferred with focus on VLSI Design, Computer Architecture, or AI Hardware Experience Requirements • Minimum 6 years of hands-on AI hardware or high-performance computing PCB design • At least 3 projects involving GPU or NPU integration from concept to production • Proven track record of AI hardware optimization for performance and power efficiency • Experience with AI hardware bring-up and system-level validation Technical Certifications (Preferred) • IPC Designer Certification (CID or CID+) • NVIDIA hardware partner certification • PCIe compliance testing experience • Altium Designer certification Preferred Qualifications Advanced AI Hardware Experience • Experience with FPGA-based AI acceleration (Xilinx Versal, Intel Stratix) • Knowledge of neuromorphic computing architectures and implementation • Familiarity with quantum computing hardware interfaces • Experience with AI chip design or custom ASIC integration Specialized Applications • Automotive AI hardware design with AEC-Q qualification • Data center AI infrastructure design and optimization • Edge AI systems with power and thermal constraints • AI camera systems with real-time processing requirements Advanced Tools & Technologies • Experience with AI hardware simulation tools (Ansys, Synopsys) • Knowledge of advanced cooling solutions (vapor chambers, liquid cooling) • Familiarity with AI benchmarking and performance analysis tools • Experience with hardware security for AI systems Industry Knowledge • Understanding of AI workload characteristics and hardware optimization • Knowledge of AI hardware trends and emerging technologies • Familiarity with AI hardware startups and ecosystem dynamics • Experience with AI hardware patents and intellectual property What We Offer • Opportunity to work on cutting-edge AI hardware that shapes the future of computing • Collaborative environment with leading AI researchers and engineers • Access to latest AI hardware development tools and technologies • Career growth path in the rapidly expanding AI hardware field • Competitive compensation • Professional development through conferences and training programs Eligibility Requirements • Legal authorization to work in the intended country • Ability to handle confidential and proprietary AI hardware designs • Willingness to travel for hardware validation and customer support (up to 20%) • Strong communication skills for cross-functional collaboration in AI project
Senior Data Scientist – Dashcam Analytics & LLM Development 🚀 🔍 Location: Ahmedabad 🏢 Company: Omnidya Tech LLP At Omnidya Tech LLP , we're revolutionizing the dashcam industry with cutting-edge AI/ML solutions that enhance fleet management and safety. As we expand our innovative team, we are looking for a Senior Data Scientist to analyze and extract actionable insights from data streamed by our dashcam systems, including video, telematics, accelerometer, GPS, and environmental sensors. 🌟 What You'll Do: Data Analysis: Analyze large-scale datasets from telematics, video footage, speed, temperature, GPS coordinates, accelerometer, and event logs. Machine Learning: Design, build, and optimize advanced ML models to detect anomalies, improve fleet safety, and predict maintenance needs. LLM Development: Leverage large language models (LLMs) to process and generate insights from complex sensor data and event logs. Collaboration: Work with cross-functional teams to integrate data-driven solutions and improve product offerings. Cloud Integration: Manage and process data in AWS using services like S3 , Lambda , Glue , and SageMaker . 🛠 Required Skills & Qualifications: Education: Master’s or Ph.D. in Data Science, Computer Science, Engineering, or a related field. Technical Expertise: Proficient in Python, R, or similar languages; experience with ML frameworks like TensorFlow or PyTorch . Experience: Deep knowledge of deep learning (CNN, RNN, LSTMs, Transformers) and LLMs (e.g., GPT, BERT). Cloud & Data Management: Expertise in AWS and large-scale data pipeline management. Communication: Strong communication skills to bridge the gap between technical and non-technical teams. 🚗 Why Omnidya Tech? Work on cutting-edge technologies in AI and machine learning for fleet management. Be part of a highly talented and innovative team focused on creating impactful solutions. Competitive salary, benefits, and a flexible work environment. If you're passionate about working with AI/ML in the automotive space and want to contribute to a next-gen fleet management platform, we want to hear from you! 👉 Apply Now by sending your resume and cover letter to Harshwardhan.dewangan@omnidya.com #DataScience #MachineLearning #AI #LLM #AWS #Telematics #FleetManagement #Dashcam #Innovation #Hiring #OmnidyaTech #Jobs