Engineer 4 in India

Job Details: Job Description: • Domain knowledge in Product Data Management, concept of Item/Bom, Change Management are essential. • Deep understanding of business processes related to product lifecycle management, including design, development, manufacturing, and support for any works to automate the product data management. • Ability to map business requirements and problems to technical solutions and identify opportunities for process improvement. • Ability to design and architect comprehensive solutions that integrate various components of the PLM system with other enterprise systems. • Experience in creating scalable and sustainable architectures that address current and future business needs and ensuring the a quality delivery of the solution • AI knowledge that can help to optimize the process of automating data entry and validation, and workflow will be an added advantage. • Full-stack software solutions experiences to address customer needs • Web/Windows technology development in .NET, NET Core, ASP.NET C#, node.js • Front End framework in React/Jquery/Javascript • Integration technology, for eg. SSIS. Mulesoft. • Strong skillsets in SQL, relatiotional DB, MSSQL, Postgrep • Strong foundation on HTML, CSS, understanding of old technology in asp, vbscript • Knowledge in cloud technology, container as a service, docker images. • Experience developing containerized applications and services using tools such as Docker and Kubernetes. • Experience using git for code repository management, CI/CD workflow with tools such as GitHub Actions or similar. Qualifications: Required skill set: Domain knowledge in Product Data Management, concept of Item/Bom, Change Management are essential. Experience 3-7yrs with BE/BTech background Full-stack software

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we are tapping into the unlimited potential of AI to define the next era of computing. As an NVIDIAN, you will address challenges spanning architecture, silicon, firmware, software, and production — and excellent judgment matters as much as technical depth! We are the Silicon Power Team within the Silicon Co-Design Group. We architect and deliver groundbreaking solutions for productizing NVIDIA's chips across consumer, professional, server, embedded, mobile, and automotive markets. Silicon characterization, correlation to arch and design expectations, product spec finalization, and productization techniques and infrastructure are our day-to-day work — always on the bleeding edge of the industry. Small decisions here have outsized impact on performance, efficiency, reliability, bring-up speed, and ultimately what the product delivers in the field. We are hiring a Senior Silicon Power Engineer to own power-feature productization on a flagship silicon program. This is not a coordination role, and it is not a compliance role — it is the seat where power features either work at scale or become the reason a program slips. The two highest-leverage problems in this seat: Close the hardest multi-functional power failures before they gate a program. Take ambiguous, cross-boundary issues across architecture, firmware, validation, and platform to root-cause closure — with productized fixes and reusable methodology the next program can inherit. Build AI-enabled characterization as a real capability, not a demo. Every bring-up generates terabytes of characterization, shmoo, and telemetry data. Deploy AI workflows for data analysis, metric extraction, trend detection, and cross-bring-up correlation — with the guardrails and validation discipline to make them trustworthy enough to gate production decisions! <

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s fueled by phenomenal technology – and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are seeking a Senior Site Reliability Engineer – Storage, you will own the reliability, performance, and scalability of our global NAS, SAN, and Object Storage platforms that power critical internal and external services. You will combine deep storage expertise with strong automation and SRE practices to design, build, and operate highly available storage systems at scale. What you will be doing: Lead design, deployment, and operations of production NAS, SAN, and Object Storage platforms, ensuring reliability, performance, and security. Capture requirements from partner teams, architect storage solutions, and drive end‑to‑end implementation for new and existing services. Develop, maintain, and improve automation for provisioning, configuration, monitoring, incident response, and lifecycle management of storage infrastructure. Participate in on‑call and incident response, lead troubleshooting of complex storage and performance issues, and drive root cause analysis and preventive actions. Define and track SLOs/SLIs and error budgets for storage services, using observability and analytics to continuous

We are seeking a Senior Software Engineer with strong infrastructure expertise to design, build, and operate the next generation of our enterprise Observability, Automation, and AI-driven Reliability Platform. This role will build highly scalable distributed systems and platform services spanning Storage, Compute, Network, VMware, OpenShift, and bare-metal infrastructure. The engineer will help transform infrastructure operations from reactive monitoring and manual remediation to proactive, predictive, and AI-driven autonomous operations. What You Will Be Doing: Design, build, and operate distributed software platforms for enterprise observability, telemetry, automation, and infrastructure reliability at large scale. Develop reusable platform services, APIs, automation frameworks, and control planes that enable self-service, reduce operational toil, and automate infrastructure operations across multiple engineering teams. Build scalable telemetry and event-processing systems spanning metrics, logs, traces, events, topology, and alerts, with the performance and efficiency to process billions of infrastructure signals. Build intelligent and AI-native reliability capabilities, including agentic workflows for anomaly detection, forecasting, root-cause analysis, automated debugging, and closed-loop remediation. Drive technical architecture and engineering direction across Storage, Compute, Network, and Platform domains, solving complex and ambiguous problems that span multiple teams. Engineer for production at scale, with strong focus on software quality, scalability, security, performance, observability, maintainability, and operational readiness. Provide technical leadership and mentorship, influence engineerin

Perforce is a community of collaborative experts, problem solvers, and possibility seekers who believe work should be both challenging and fun. We are proud to inspire creativity, foster belonging, support collaboration, and encourage wellness. At Perforce, you’ll work with and learn from some of the best and brightest in business. Before you know it, you’ll be in the middle of a rewarding career at a company headed in one direction: upward. With a global footprint spanning more than 80 countries and including over 75% of the Fortune 100, Perforce Software, Inc. is trusted by the world’s leading brands to deliver solutions for the toughest challenges. The best run DevOps teams in the world choose Perforce. Responsibilities Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 6+ years of hands-on software development experience. Strong foundation in Java and API technologies. Genuine interest in specializing in mainframe/legacy systems technology as a long-term career direction. Core Technical Skills – Java, APIs & Modern Stack Working knowledge of Java, used for the Sola IDE and one of the Sola runtime implementations. Experience with RESTful and SOAP web services, including how they're designed, secured, and exposed from backend systems. Familiarity or hands-on experience with API management gateways (e.g., Akana, Apigee, MuleSoft, Kong, or similar) — Sola's core purpose is exposing mainframe assets as governed, gateway-managed APIs. Working knowledge of JavaScript, used extensively within the Sola IDE. Experience with SQL/NoSQL databases, including DB2, Oracle, MS SQL, and/or MySQL. Working knowledge of CI/CD tools and pipelines. Requirement Mainframe & Legacy Systems – Growth Track (Mentorship & Training Provided) These skills will be

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About the Role At Okta, identity is at the heart of everything we build. As an Associate Solutions Engineer for Okta, you are a builder, owner, and collaborator who serves as a key technical and business advisor to developer personas across the Australian commercial customers/businesses and the APJ timezone (mostly ANZ). Anchored by Okta’s core values— Love our customers , Build and own it , Always secure. Always on. , and Drive what’s next —you will craft, position, and demonstrate how Auth0 solves critical security challenges throughout the sales cycle. Key Responsibilities Love Our Customers: Partner closely with sales teams as the go-to identity authority, aligning Auth0 solutions directly with developer pain points and business goals through tailored, value-driven product demonstrations. Build and Own It: Architect and execute hands-on Proof of Concepts (POCs) for complex customer use cases, taking full accountability for technical validation alongside cross-functional engineering teams. Always Secure. Always On.: Confidently address in-depth technical, application security, and identity infrastructure inquiries from developers, architects, and CTOs to ensure reliable, high-trust deployments. Drive What’s Next: Serve as the strategic voice of the customer, bringing critical market insights and developer feedback back to Product Management to continuously evolve our platform. Innovate & Share Knowledge: Champion scalable best practices, build reusab

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Senior Data Engineer At Snowflake, we are building the future of the data-driven enterprise. We are looking for a Senior Data Engineer who brings deep technical craft, strong ownership instincts, and the ability to operate across the full data lifecycle — from raw ingestion to production-ready data products. This is not a role for someone who executes tickets. You will design and build the data infrastructure that powers internal decision-making and external product capabilities, working at the intersection of data engineering, platform thinking, and stakeholder alignment. You will own complex technical decisions, set the bar for data quality and governance, and contribute to a data platform that scales with the business. The person we are looking for combines engineering rigour with pragmatic judgement — someone who can solve for today while building for the future, and who raises the standard of the teams they work within. AS A SENIOR DATA ENGINEER AT SNOWFLAKE, YOU WILL: Design, build, and launch production-ready data models and pipelines that scale effectively across the enterprise data lifecycle — from ingestion through transformation, modelling, and consumption Own complex system design decisions end-to-end, evaluating tradeoffs and documenting architectural choices c

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Firmware Test Engineer at Micron Technology, Inc., you will build groundbreaking high-performance controller firmware test framework for volatile and non-volatile memory systems. You will assist in the evaluation, creation, build, bench testing, debugging, and failure analyzes of firmware for new high-performance memory controllers and Solid State Drives (SSD) that will improve performance, while reducing power, latency and SoC (System on Chip) complexity for the target sectors. You can expect to partner multi-disciplinary Engineers seek multi-functional product development issues. You will triage failures, file bug reports, and help the development teams with isolating issues. Experience / Skills: 8 to 12 years of experience in managing the test development team within the storage domain. In depth knowledge and extensive experience with embedded firmware development Expertise in the use of scripting languages, programming tools and environments Extensive experience programming in Python Technical Expertise in the storage industry in SSD, HDD, storage systems, or a related technology Understanding of storage interfaces including ideally PCIe/NVMe, SATA, or SAS Experience with NAND flash and other non-volatile storage Ability to work independently with a minimum of day-to-day supervision Experience with team leadership and/or supervising junior engineers and technicians Ability to work in a multi-functional team and under

Senior Machine Learning Engineer Description - We are looking for a Senior MLOps Engineer to design, build, and operate the infrastructure that enables machine learning models and large language models to be deployed safely, reliably, and at scale. In this role, you will create the end-to-end capabilities required to move models from experimentation into production, expose them through secure and highly available endpoints, and enable users and applications to interact with AI-powered services. You will work across AWS and Databricks to establish robust CI/CD pipelines, model-serving infrastructure, observability, governance, rollback mechanisms, and operational standards. You will partner closely with data scientists, machine learning engineers, software engineers, security teams, and platform engineers. The ideal candidate combines strong cloud and DevOps engineering skills with a practical understanding of machine learning systems, LLM deployment patterns, and production reliability. Key Responsibilities MLOps Platform and Architecture Design and implement a scalable MLOps platform using AWS and Databricks. Define reference architectures and reusable deployment patterns for traditional machine learning models, deep learning models, and large language models. Build standardized workflows that move models from development and validation into staging and production. Develop self-service capabilities that allow data scientists and ML engineers to deploy models without manually managing infrastructure. Establish clear separation between development, testing, staging, and production environments. Design multi-region or multi-availability-zone architectures where required by business continuity and availability objectives. CI/CD and

Android Framework Engineer Description - Job Summary • This role is responsible for designing, developing, testing, and maintaining software applications that cater to specific user needs or business requirements. The role plans, executes, and monitors software development projects, ensuring they are delivered on time, within budget, and according to quality standards. The role identifies potential risks and challenges in software projects and implement strategies to mitigate these risks for successful project outcomes. Responsibilities • Oversees the software application development projects and team of junior developers. • Allocates resources to complete programming projects, and designing detailed plans to ensure applications are functioning properly. • Provides technical support for the development and implementation of applications dealing with complex high-performance computing systems. • Defines and documents product requirements, user stories, and epics and works closely with the agile team to execute on the product backlog. • Leads multiple project teams of other software applications engineers and internal and outsourced development partners responsible for all stages of design and development for complex products and platforms, including solution design, analysis, coding, testing, and integration. • Manages and expands relationships with internal and outsourced development partners on software applications design and development. • Reviews and evaluates designs and project activities for compliance with applications design and development guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk. • Provides domain-specific expertise and overall software applications leadership and perspective to cross-organization projects, programs, and activities. • Drives inno

Android Framework Engineer Description - Job Summary • This role is responsible for designing, developing, testing, and maintaining software applications that cater to specific user needs or business requirements. The role works collaboratively with cross-functional teams to create functional, user-friendly, and reliable software solutions. The role conducts testing, debugging, and troubleshooting to ensure that software applications are free of defects and meet high-quality standards. Responsibilities • Designs enhancements, updates, and programming changes for portions and subsystems of end-user applications software running on local, networked, and Internet- based platforms. • Analyzes design and determines coding, programming, and integration activities required based on general objectives and knowledge of overall architecture of product or solution. • Investigates and resolves technical issues reported by users or identified during testing and usage. • Writes and executes complete testing plans, protocols, and documentation for assigned portion of application. • Collaborates with cross-functional teams, including product managers, designers, and quality assurance teams, to implement new features and functionalities in software applications. • Allocates resources to complete programming projects, and designing detailed plans to ensure applications are functioning properly. • Leads a project team of other software applications engineers and internal and outsourced development partners to develop reliable, cost effective and high quality solutions for assigned applications portion or subsystem. • Collaborates and communicates with management, internal, and outsourced development partners regarding software applications design status, project progress, and issue resolution. • Represents the software applications enginee

NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work , to amplify human creativity and intelligence. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world! As a Formal Verification Engineer at NVIDIA, you will be responsible for formally verifying complex designs. NVIDIA has developed a strong functional formal verification methodology that not only enables hardware design and verification engineers to use lightweight FV tools and techniques successfully but also allows FV engineers to use advanced property proving techniques on complex and/or critical RTL logic. The job involves very close interaction with the design team, architecture team, with other validation teams, and with NVIDIA's internal FV R&D group that develops functional verification tools using formal verification technology. What you'll be doing: You will help decide on the best applications of formal verification techniques to various parts of the design. Review functional and micro-architectural specifications, define the scope for formal verification, and create high-quality formal verification testplans to sign-off on the corresponding design implementation. Build formal verification testbenches, code assertions and constraints, and apply abstra

We are seeking a qualified Senior Software Tools Development Engineer to join our GPU SWQA team. The successful candidate will have strong experience applying AI technologies to automate test cases and a deep understanding of Windows operating systems. Extensive knowledge of GPU, CPU, SoC, x86, and ARM architectures is required, along with expertise in PC I/O architecture and common bus interfaces such as PCIe, USB, and SATA. Familiarity with specifications for general PC architecture components is a plus. What you’ll be doing: Design and implement automated tests incorporating AI technologies for NVIDIA's device driver software and SDKs on windows platforms. Build tools/utility/framework in Python, C# or equivalent which would help automate and optimize the testing workflows in GPU domain. Develop and carry out automated and manual tests, analyze results, identify and report defects. Rigorously drive test automation initiative. Build innovative ways to automate and expand our software testing. Expose defects and constraints; Isolate and debug the issue(s) and find the root cause; Contribute to the solution and drive to closure. Measure code coverage for the software under test, analyze and drive code coverage enhancements. Develop applications and tools that accelerate development and test workflows and write fast, effective, maintainable, reliable and well documented code. Generate and test compatibility across a range of products and interfaces and validate different key software applications across a test matrix designed to test both breadth and depth. Provide peer code reviews including feedback on performance, scalability and correctness. Report test coverage and Go/No-Go status for deliverables, escalate critical issues, and drive them to closure. Participate in root cause analysis and corrective actions to continuo

We are seeking a qualified Software Tools Development Engineer to join our GPU SWQA team. The successful candidate will have strong experience applying AI technologies to automate test cases and a deep understanding of Windows operating systems. Extensive knowledge of GPU, CPU, SoC, x86, and ARM architectures is required, along with expertise in PC I/O architecture and common bus interfaces such as PCIe, USB, and SATA. Familiarity with specifications for general PC architecture components is a plus. What you’ll be doing: Design and implement automated tests incorporating AI technologies for NVIDIA's device driver software and SDKs on windows platforms. Build tools/utility/framework in Python, C# or equivalent which would help automate and optimize the testing workflows in GPU domain. Develop and implement automated and manual tests, analyze results, identify and report defects. Rigorously drive test automation initiative. Build innovative ways to automate and expand our software testing. Expose defects and constraints; Isolate and debug the issue(s) and find the root cause; Contribute to the solution and drive to closure. Measure code coverage for the software under test, analyze and drive code coverage enhancements. Develop applications and tools that accelerate development and test workflows and write fast, effective, maintainable, reliable and well documented code. Generate and test compatibility across a range of products and interfaces and validate different key software applications across a test matrix designed to test both breadth and depth. Provide peer code reviews including feedback on performance, scalability and correctness. Report test coverage and Go/No-Go status for deliverables, escalate critical issues, and drive them to closure. Participate in root cause analysis and corrective actions to continuously im

Fiduciary Trust International is a premier investment and wealth management firm with a commitment to growing and protecting wealth across generations. We offer a dynamic and collaborative approach to managing wealth for high-net-worth and ultra high-net-worth individuals and families, family offices, endowments, foundations, and institutions. Our investment managers, tax and estate planning professionals work together to develop holistic strategies to optimize clients’ portfolios while mitigating the impact of taxes on their wealth. As a fiduciary, the guidance we provide is in the best interests of our clients, without conflict or competing benefits. We offer boutique customization and deep expertise in specialized investment, tax and planning strategies alongside sophisticated technology and custody platforms. Fiduciary Trust International is owned by Franklin Templeton, a dynamic firm that spans asset management, wealth management, and fintech, giving us many ways to help investors make progress toward their goals. With clients in over 150 countries and offices on six continents, you’ll get exposed to different cultures, people, and business development happening around the world. About the Department: Our AI Engineering team develops and scales production-ready Generative AI and Agentic AI solutions that help solve complex business challenges and accelerate innovation across the organization. The team brings together AI engineers, architects, and business stakeholders who work collaboratively to design, build, and deploy secure, enterprise-grade solutions on Microsoft Azure. Joining this team offers opportunities to work with emerging technologies, influence AI standards and best practices, and contribute to high-impact initiatives in a collaborative and growth-oriented environment. How Y