Lead Test Program Development Engineer Salary India Jobs

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role: We are looking for a Strategic Sourcing Manager to join our Procurement team. You will own strategic sourcing for critical cloud infrastructure and AI providers, helping Vercel secure the compute, storage, and infrastructure capacity we need as we scale. You will develop commercial models that balance competitive economics with flexibility, avoiding commitments that constrain growth while creating transparent pricing that improves as our usage scales. Vercel's spend and revenue are scaling fast, and our sourcing motion has to scale with it — you'll know when to move fast versus when to hold the line on process, partnering closely with Legal, FP&A, and Security to get deals done without unnecessary friction. This role reports to the Head of Procurement. If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. For location-specific details, please connect with our recruiting team. What You Will Do: Lead sourcing strategy and commercial negotiations with cloud infrastructure providers and hyperscalers. Structure complex IaaS, compute, storage, and capacity agreements that balance committed spend, consumption growth, flexibility, and long-term unit economics. Design pricing structures (tiered, committed-volume, usage-based) that reflect how Vercel actually consumes vendor services, and that scale with our growth trajectory. Own strategic sourcing for emerging AI infrastructure and hyperscaler relationships, i

About the Team DoorDash’s ability to build the best products in the industry, enabling local commerce at global scale, depends on its ability to recruit, engage, grow, and retain the best talent in the industry. The People Applications team at DoorDash is responsible for building and scaling first-party (1P) products that support the entire employee lifecycle from recruitment through to offboarding. The team develops and operates People Applications used across all DoorDash brands, including Wolt and Deliveroo. About the Role The DoorDash People Applications team is seeking an Engineering Manager with experience building and scaling applications across talent acquisition, compensation, and employee experience domains. In this role, you will play a key part in shaping the future of our People platform as we accelerate the adoption of AI and evolve our 1P products to drive greater efficiency, innovation, and employee experience. This is a highly collaborative role where you will help shape both the technical direction and product strategy, ensuring our solutions align with DoorDash’s people team’s goals while delivering reliable, high-impact experiences for employees across all brands. This will be a hybrid role and you will report to the Senior Manager, Enterprise App Engineering. You’re excited about this opportunity because you will… Lead and Inspire: Manage, mentor, and grow a high-performing team of full stack engineers across multiple DoorDash locations including in US and Hungary Drive Technical Vision: Partner with the team to define architectural roadmap for the team. Deliver Impactful Features: Oversee development of core People Application product experiences, including data pipelines, automation and integration with AI tools/LLMs. Collaborate Across Functions: Work closely with product managers, UI/UX designer, and business stakeholders to translate requirements into impactful, user-first solutions. Operational Excellence: Establish best practices in devel

About us At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary Reporting to Senior Director of Post Silicon Validation, the Debug Validation Engineer will drive post-silicon debug and validation activities for next-generation AI compute silicon and systems. You will lead teams passionate about identifying, reproducing, analyzing, and resolving complex silicon, firmware, and system-level issues during bring-up, characterization, and product readiness. This role combines deep technical debugging expertise with strong cross-functional collaboration across multiple engineering fields. The Team The Post-Silicon Debug and Validation team manages bring-up, fault diagnosis, and validation of Graphcore silicon and systems. Our team participates throughout the entire product lifecycle, supporting initial silicon bring-up, subsystem validation, system integration, and production readiness tasks. We coordinate closely with hardware, firmware, software, and systems teams to examine complex failures, develop debug strategies, and advance validation infrastructure. Responsibilities and Duties Lead post-silicon debugging and validation efforts for AI compute silicon and platform technologies Contribute to debug and validation activities across multiple projects and achievements Analyze and address intricate sili

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is seeking a highly skilled Physical Design Engineer to drive the critical Die-to-Die (D2D) Physical Implementation from RTL to GDSII. This role demands deep expertise in full physical design flow with a specific focus on closing high-speed D2D interfaces for multi-die/chiplet architectures. This role is remote role open to any location in the U.S. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A seasoned ASIC Physical Design Engineer with 5+ years at advanced nodes (7nm or below) and multiple successful tapeouts. Strong in full-chip implementation, comfortable owning blocks from RTL to GDSII across synthesis, floorplanning, place-and-route, CTS, and sign-off. Deeply familiar with high-speed interfaces (D2D, PCIe, HBM, SerDes) and the physical challenges that come with them (timing, signal integrity, power integrity). Detail-oriented and methodical with STA, constraints, and closure for complex, high-speed designs. A hands-on problem solver who enjoys collaborating across analog, digital, and full-chip teams to debug tough issues. What We Need Lead Die-to-Die (D2D) physical implementation and closure, taking high-spe

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is building next-generation RISC-V CPUs optimized for AI, high-performance computing, and emerging autonomous AI systems. As the RISC-V AI / HPC & Agentic Software Engineering Lead, you will operate at the hardware–software boundary, enabling AI, HPC, and agentic AI software stacks on Tenstorrent’s RISC-V processors. This role is responsible for integrating and optimizing Tenstorrent’s LLK (Low-Level Kernel) infrastructure for CPU execution, while leading the bring-up of a RISC-V-native agentic AI software stack — including runtime orchestration, distributed execution frameworks, memory systems, and developer tools required for goal-driven AI systems. You will work closely with CPU architects, microarchitecture teams, compiler engineers, and AI kernel developers to ensure tight alignment between software capabilities and RISC-V architectural features. This role is remote, based out of Taiwan. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A systems-oriented software engineer with deep experience in HPC and AI software stacks. Experienced with distributed AI systems, orchestration frameworks, or agentic AI architectu

A Career with Point72’s Technology Team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. What you’ll do Lead delivery of best-in-class end-user technology services across the firm, shaping the support model and directly improving the client experience Build and operate hands-on support for PCs, laptops, video conferencing solutions, mobile devices, and collaboration tools to enable high-performance teams Troubleshoot and resolve complex hardware, software, and connectivity issues with urgency, clear communication, and client-focused outcomes Develop and deliver training, documentation, and knowledge articles to increase technology adoption and client self-sufficiency Automate repetitive operational tasks and implement scripting solutions to improve reliability and reduce mean time to resolution Manage small and large-scale technology projects by producing written project plans, coordinating resources, and delivering timely status reports Partner with vendors and on-site service providers to establish service levels, coordinate escalations, and

A Career with Point72's Human Capital Team As an HR Team, our mission is to be trusted business partners and advisors within the Point72 community, committed to driving a distinctive culture that values collaboration, innovation, and adaptive performance. We are a group of professionals who prioritize business context while listening to all sides, across teams and levels, with empathy. We strive to be commercial and innovative, focused on deeply understanding the nuances of global and business unit dynamics and seeking unconventional ways of approaching our relationships with our people. What you'll do Partner with business leaders to develop and implement people strategies that align talent, performance, and organizational design to business objectives Advise leadership on performance, leadership development, and succession planning Support the execution of firmwide talent initiatives by coordinating implementation plans, monitoring outcomes, and refining approaches as needed. Analyze HR data and reporting to generate insights, present findings to business leaders, and recommend data-driven actions Assess complex employee relations and people-risk scenarios, applying sound judgment to protect the business and its people Lead cross-functional projects and change management efforts to implement organizational change with clarity and speed Partner with HR colleagues and business stakeholders across multiple geographies to ensure consistent execution and local relevance Coach managers to strengthen leadership capability, drive accountability, and build high-performing teams Execute day-to-day HR operations for your client groups, including workforce planning, reporting, communication, and escalation management What's required 7+ years of HR business partner experience working in a fast-paced environment Demonstrated experience with HR reporting and analytics to generate insights, present findings to the business, and track and disseminate key HR data Demonstrated proje

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role The Client Success Management (CSM) team at Addepar oversees the complete post-sales lifecycle, ensuring clients achieve maximum value from our platform. As a strategic client advisor, you’ll build a deep understanding of each client’s business — including corporate strategy, business model, services offering, and technology — to help them achieve their goals and fully leverage Addepar’s solutions. As part of the Enterprise CSM Team , you will manage Addepar’s largest and most sophisticated clients, including global, private, and regional banks, wirehouses, and broker-dealers. By providing strategic guidance, fostering strong partnerships, and leading engagement initiatives, you will drive adoption, retention, renewals, and revenue growth — playing a pivotal role in Addepar’s expansion. In this role, you will utilize your selling skills and technical knowledge to lead impactful client presentations and demonstrations, clearly articulating Addepar’s value proposition and aligning its capabilities with client needs and business objectives. Working cross-functionally, you will identify opportunities to deepen engagement, expand adoption, and develop and execute data-driven strategies to help Addepar grow new annual recurring revenue

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role Addepar’s Enterprise Sales team partners with some of the largest wealth management firms in the globally, including many listed on the Barron’s Top 40. As an Enterprise Account Executive, you will lead complex, consultative sales efforts with a small set of highly strategic clients. This is a senior role with responsibility for both driving new business and expanding long-term partnerships across global financial institutions. You will act as the business owner for your accounts , setting strategy, leading execution, and aligning internal teams to deliver meaningful outcomes for clients. This role goes beyond traditional sales; you’ll help shape how leading firms evolve their advisor and client experience through technology. You’ll operate in a highly cross-functional environment, partnering with teams across Sales Engineering, Client Success, Services, Partnerships, Marketing, and R&D to deliver a consistent, high-quality experience from initial engagement through long-term growth. What You’ll Do Own and grow strategic relationships - Build, expand, and deepen relationships with key enterprise clients. Drive new business, renewals, and multi-year expansion opportunities across your portfolio. Lead consultative enterprise sales cy

About the Role Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure. The AI Infrastructure team at Together AI is at the forefront of building and scaling the foundational systems that power our generative AI platform. The storage and observability team is crucial for designing, implementing, and maintaining robust distributed storage solutions, ensuring seamless data access and management. They are also responsible for developing comprehensive observability platforms, providing critical insights into system performance and GPU utilization, and proactively identifying and resolving issues. Responsibilities Design and implement a scalable observability platform (metrics, logs, traces) using tools like Prometheus, Grafana, ClickHouse, ClickStack, and OpenTelemetry, including telemetry data pipelines and log aggregation workflows. Develop automated monitoring, alerting, and anomaly detection systems, including SLIs/SLOs, runbooks, and predictive analytics for critical services. Build and deploy custom observability tools and infrastructure-as-code using Go, Python, Terraform, Ansible, and Helm. Collaborate with engineering teams to enhance distributed tracing and application monitoring, and lead incident response with post-mortem analysis. Define observability best practices. Requirements Expertise in observability platforms (Prometheus, Grafana, ClickStack, OpenTelemetry) and cloud-native monitoring services (AWS, GCP, Azure). Strong programming skills in Go, Python, or similar languages, with proficiency in infrastructure-as-code tools (Terraform, Ansible, Helm). Experience designing, operating, and scaling large-scale distributed systems and pipelines for high-volume data ingestion and real-time querying. Deep understanding of containerization (Docker) and orchestration (Kubernetes). Knowledge of microservices architectu

About the Role Together AI is looking for a Manager to own the commercial relationships with our international cloud compute suppliers and the market intelligence that drives our compute supply strategy. You will manage the lifecycle of international cloud service provider (CSP) contracts and renewals, run RFP processes for new capacity, build pricing benchmarks across the global GPU cloud landscape, and partner with infrastructure engineering, finance, and GTM to secure the right capacity at the best economics as we rapidly scale our GPU fleet globally. Responsibilities Manage the lifecycle of international CSP leasing agreements, from sourcing and RFPs through contract execution and renewals Partner with infrastructure engineering to translate technical requirements into commercial specifications, and coordinate technical evaluations during vendor selection Develop and maintain relationships with cloud compute suppliers to expand Together's vendor ecosystem into new international markets Build and maintain market intelligence to stay ahead of pricing trends, supply availability, and the evolving international cloud compute vendor landscape Develop negotiation strategies that improve our cost position and terms as we scale, accounting for local contracting norms and market dynamics Drive continuous improvement on Total Cost of Ownership (TCO) and actively mitigate supply chain and commercial risks across the GPU fleet Establish and lead regular, structured vendor performance reviews, including Quarterly Business Reviews (QBRs), with international cloud and infrastructure compute suppliers. Track the country-level factors that shape international capacity decisions, including power availability, local regulatory and data residency requirements, currency, and tax and duty implications Requirements 5+ years in cloud sourcing, strategic sourcing, or infrastructure commercial roles, with exposure to GPU or high-performance compute environments Track record negotia

About the Role We are seeking a skilled GTM Engineer to join our team. In this role, you will architect an AI-native tech stack with seamless integrations and build a cohesive, automated engine to drive measurable revenue outcomes. As a builder and systems thinker, you will play a vital role in automating processes, maintaining data integrity, and turning GTM strategy into scalable systems. Responsibilities Architect the GTM Tech Stack: Build an AI native tech stack with seamless integrations. Centralize Data: Build a cohesive, automated engine that centralizes data in CRM and eventually data warehouse (Salesforce, Hubspot, Snowflake, Clay, Claude Cowork). Own Data Integrity: Build and maintain the data flows, enrichment logic, and sync architecture that keep our systems accurate, deduped, and trustworthy end-to-end. Turn Strategy into Systems: Partner with leadership to translate GTM strategy into automated playbooks, dynamic scoring models, and signal-based workflows that drive measurable revenue outcomes. Lead CPQ System Design: Lead system design for Salesforce CPQ, including product catalog architecture, pricing and discount rules, quote templates, and approval workflows. Optimize Conversions: Optimize quote-to-order conversion ensuring accurate data flow into downstream billing and ERP systems. Implement Governance: Implement governance on pricing, discounting, and quote approval thresholds to maintain margin and compliance integrity. Improve Deal Velocity: Improve deal velocity by streamlining approvals, leveraging Salesforce CPQ (Revenue Cloud). Integrate CLM Tools: Integrate CLM (e.g., Ironclad, Conga, or DocuSign CLM) with Salesforce to automate quote-to-contract and contract-to-order workflows. Automate Bottlenecks: Identify repetitive work across the GTM org - account research, CRM hygiene, post-call follow-ups - and replace it with intelligent automation using APIs, webhooks, and AI agents. Requirements Experience: Have 3–5+ years of experience operatin

About the Role We're seeking an exceptional technical accounting leader to establish and scale our technical accounting function as we grow. This is a rare opportunity to define accounting policy and financial reporting standards across a high-growth, dynamic environment, partnering with a world-class team, while ensuring rigorous quarterly, annual, and ad hoc investor reporting as a private company. Responsibilities Technical Accounting Develop and maintain U.S. GAAP policies across complex areas, including revenue recognition (ASC 606), leases (ASC 842), fixed assets (ASC 360), debt/financing (ASC 470/835), business combinations (ASC 805), equity/stock compensation (ASC 718, ASC 505), and collaborative arrangements (ASC 808) Serve as subject matter expert on complex transactions, including structured financing, equipment financing, and customer contracts Partner with Revenue Accounting on revenue recognition for usage-based, subscription, and enterprise contracts, and evaluate the accounting treatment for collaborative arrangements, including co-development and joint go-to-market deals Assist with lease accounting and capitalization policy for data center, colocation, and equipment arrangements Advise on equity transactions (stock issuances, SAFEs, convertible instruments, stock-based compensation) and strategic investments/joint ventures Draft technical accounting memos for significant transactions and non-standard deal structures Monitor and implement new accounting standards Partner with Legal, Tax, FP&A, Strategic Finance, and other teams on accounting implications of new contracts and transactions Support the monthly, quarterly, and annual close process for technical accounting areas, including review of complex and judgmental journal entries and account reconciliations Investor Reporting and Financial Statement Audit Lead quarterly, annual and ad hoc investor financial reporting packages Partner with FP&A, Legal, and Investor Relations to ensure clea

About the Role Together AI is hiring a Staff Platform Infrastructure Engineer to drive the service and platform infrastructure strategy across our engineering organization. This is a hands-on technical leadership role with the opportunity to establish a new team and shape its direction, defining the golden path for how services are built and operated at Together. This role will support mission-critical Product and Platform teams by providing a stable, scalable service infrastructure foundation for building and operating customer-facing and internal services. The focus is on making that foundation reliable, repeatable, and easy for teams to adopt. You'll own and evolve crucial shared infrastructure, roll out new infrastructure patterns and platform capabilities to service teams, and coordinate with other infrastructure teams to ensure services are built on company-wide foundations. In your first year, you might: Ship a new golden-path service template (scaffolding, Helm chart, CI/CD, and GitOps) and move the first set of services onto it. Implement zero-trust policies on our production clusters. Collaborate with DevProd and SREs on the migration to Kargo. Hire and grow the initial Platform Infrastructure team. Responsibilities Set the technical direction for service infrastructure across Kubernetes, AWS, CDN and edge networking, and related operational patterns. Design and build reusable infrastructure primitives, such as Helm charts and Terraform modules. Build self-service platform capabilities, operational runbooks, and AI-assisted tooling that accelerate service development and operations. Partner closely with service teams to modernize existing services and adopt stronger infrastructure patterns. Work with Infrastructure, Networking, and Security teams to translate company-wide platform standards into practical service-level implementations. Lead cross-company infrastructure initiatives such as Terraform CI/CD, Kubernetes networking, zero-trust service communica

About The Role Most of what makes Together AI so valuable for customers is invisible from the outside. Optimizing kernels, scheduling, quantization, speculative decoding, and more create an industry-leading platform for inference and post-training at scale. As a technical marketing engineer, you are the conduit between the engineering and research work and the developers who should know about it. You go deep with product, engineering, research, and CX to learn the platform at the level of nuanced technical detail, then decide which details matter to an AI builder and build content that makes them care. This is a creator role. You are a technical storyteller. You'll produce social-native posts, technical blogs, performance benchmarks, demo and explainer videos, and thought leadership, all aimed at one outcome: building Together’s credibility with developers. You'll also own our technical communities on X, YouTube, Discord, Linkedin and the engagement metrics for developer content company-wide, including amplifying the work of engineers and researchers who publish under their own names. Responsibilities Partner with product, engineering, DevRel, research, and CX to learn new capabilities in technical depth, then extract the most meaningful aspects for a developer audience. Create the content strategy based on deep understanding of our company’s differentiation and marries that with an understanding of the content that would resonate. Build technical content across formats: blogs, videos, benchmark reports, podcasts, and short-form posts that drive engagement with developers and preference for Together. Monitor real-time news and announcements related to AI infrastructure and lead timely responses working with product and engineering Own Together's presence in technical communities, primarily X, Discord and Youtube. Track engagement metrics, what lands, what doesn't, and adjust. Drive amplification of engineering and research work across social channels. Be the heartbe