System Verification Co Design Engineer Jobs

Role Description: Working as Director, Strategic Alliances & Partnerships (APAC) for Jumio, you will be responsible for generating new business via the partner ecosystem with a special focus in the APAC region. You will demonstrate a proven sales acumen with the experience of solution selling and a track record of successfully selling into Fintech, Crypto, Payment, e-Wallet vertical. The Manager, Strategic Alliances & Partnerships is responsible for the design, development, execution and growth of the partner strategy in the APAC marketplace, in close coordination with global counterparts. They will be expected to quickly embrace the Jumio business, understand the complex market ecosystem and quickly build and execute an effective GTM and revenue acceleration plan for the various partner channels identified (i.e. OEM/ISV, reseller, system integrators) with the expressed purpose to make an immediate impact to our indirect sales strategy and drive incremental sales with and through our most critical business partners. The ideal candidate will possess the business acumen to identify business opportunities, build loyal partner relationships with strong negotiation, communication skill sets and a patient disposition. This role is to help to grow the Jumio business via partners; reaching customers that Jumio may not be able to reach on its own. Example Responsibilities: Understanding the overall Jumio partner ecosystem and how to manage channel conflicts with the purpose to aim for an amicable outcome. Identify and recruit the right partners to jointly identify and prospect opportunities with the successful management and completion of the deal. Maximize closing of deals that can result in the taking of market share from competitors. Develop and build partner relationships through calls, emails, meetings and conferences. Maintain accurate records of all partner activities for the purposes of identifying, nurturing and closing the Company’s

Role Summary : A Customer Support Analyst Level II works within the Customer Support Center to meet the needs of GHX's important customers. The CSA-II will develop a strong working knowledge of our leading edge GHX Internet B2B exchange system and growth products, the Customer Support knowledge base, and Customer Support administrative tools. With this knowledge and tools, the CSA-II will answer customer's questions, assist customers in using the functions of the system, and help them when they have problems in using or connecting to the system. Extensive collaborative troubleshooting and problem solving may be required at times. CSA-II will perform these activities with the help of guidelines to assure efficiency, reliability, and quality. The CSA- II works on problems of diverse scope where analysis of situations requires technical expertise and the use of logical diagnostic skills, including a strong working knowledge of EDI-X12. Roles & Responsibilities: Acts as a primary point of contact at GHX for its customers who reach out to GHX via telephone, email, and the GHX Community Web Portal. Works directly with customers to help meet their needs and solve their problems, including systems, specific products, and general information. Works cooperatively with other team members and departments to develop effective and timely solutions for customers. Utilizes Customer Relationship Management System ‘Salesforce’ to record and research customer information and to record all the customer's questions, problems, and solutions. Uses the Customer Support Knowledge Base to assist customers and provide immediate resolution to their problems. Contributes to the Customer Support Knowledge Base in order to provide symptom and resolution information about new issues and update information for known issues. Understands the roles and skillsets of peers and extended departments in order to effectively escalate issues that cannot be resolved during live customer call. Provides ass

ABOUT THIS ROLE GHX is standing up a new Human-in-the-Loop (HiTL) operations team in Hyderabad to support its ADM (Automated Document Management) platform — an AI-powered document processing system replacing legacy UiPath automation for GFax North America. The platform processes over 2.2 million Purchase Orders per year and targets a 75–85% fully-automated (touchless) rate. The team handles every document the AI cannot process autonomously. The Operations Supervisor is building this team from zero and is accountable for everything within it: throughput, field accuracy, team development, day-to-day operations management, and real-time coordination with GHX Engineering and Product teams in the United States. This is a high-visibility, inaugural role — the team’s accuracy and throughput directly determine the speed and confidence with which GHX can expand the ADM platform beyond GFax North America. KEY RESPONSIBILITIES People & Performance Management — 70% Directly supervise 15-20 Document Review Specialists; own rostering across rotational shifts, attendance tracking, and queue capacity planning against daily document volume Manage operations SLA – TAT, Quality, along with people metrics Own day-to-day operations management: shift rosters and week-offs, leave planning, planned & unplanned shrinkage, absenteeism control, and real-time reallocation of staffing to protect SLAs & operations performance metrics Set and communicate daily, weekly, and monthly throughput, AHT, and accuracy targets; monitor individual and team performance against SLA and productivity standards Participate in and present at weekly, monthly, and quarterly business reviews (WBR / MBR / QBR) — performance against KPIs, root-cause analysis of misses, and committed corrective actions Own the full performance cycle for direct reports, including goal setting, mid-year and annual appraisals, with documented performance ratings, development plans, and calibration against peer supervisors Con

General Summary CSA I Provides first-line support within the Customer Support Center, assisting GHX's important customers with inquiries and basic system usage. Develops foundational knowledge of the GHX B2B exchange, support resources, and tools, utilizing guidelines to ensure efficient and quality support. Handles diverse issues requiring logical diagnostic skills and a developing understanding of EDI-X12. Job description Roles & Responsibilities Acts as a primary point of contact at GHX for customers reaching out via email, and the GHX Community Web Portal. Works directly with customers to help meet their needs and solve their problems, including systems, specific products, and general information and the GHX Community Web Portal. Works directly with customers to help meet their needs and solve their problems, including systems, specific products, and general information. Works cooperatively with other team members and departments to develop effective and timely solutions for customers. Utilizes the Customer Relationship Management System ‘Salesforce’ to record and research customer information and to record all the customer's questions, problems, and solutions. Uses the Customer Support Knowledge Base to assist customers and provide immediate resolution to their problems. Contributes to the Customer Support Knowledge Base in order to provide symptom and resolution information about new issues and update information for known issues. Understands the roles and skillsets of peers and extended departments in order to effectively escalate issues to CSA II & CSA IIIs that cannot be resolved at base level. 6+ Months Experience, with relevant Customer Service Experience GHX: It's the way you do business in healthcare Global Healthcare Exchange (GHX) enables better patient care and billions in savings for the healthcare community by maximizing automation, efficiency and accuracy of business processes. GHX is a healthcare business and data automation compan

JOB TITLE Software Engineer, Controller’s Technology A CAREER WITH POINT72’S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. WHAT YOU’LL DO As a software engineer on the Controller’s Technology team, you will use your programming expertise to design, develop, and support ETL, data warehouse, process flow, PnL validation and adjustment tools, and PnL reporting framework to modernize the PnL reporting platform and streamline the business process. Build analytical tools on a next generation technology platform to facilitate understanding of performance for Firm management and portfolio managers as well the reporting requirements of our Finance, Operations, Audit, and Technology functions. Develop quantitative understanding of PnL process and data flow to anticipate new requirements Innovate and improve our capabilities to deliver high quality products to our business partners Solving complex and challenging problems through the application of creative and unique solutions using the latest technology WHAT’S REQUIRED Strong data engineering, analytics, ETL and reconciliation skills using T-SQL, Python, Airflow etc. Bachelor’s in computer science, or related technical field with 5 years of programming experience End-to-end system design, development, support, and user coordination experience Strong development skills using Python, or C#. Strong data visualization skills using JS/React etc. A plus to have prior experience in financial industry working with Risk, valuation

Here's a summary of the role Data is only powerful when everyone agrees what it means. This is your chance to build a world class product behavioural data system and process from the ground up. We're rebuilding the internal product our teams use to measure product success and end-user value across all our 24+ products in four business units. You'll design the single source of truth: the metric definitions, the telemetry standards, the data contract engineering instruments against, the change governance processes and tooling, and the models that turn behaviour into portfolio insight. You'll educate and support the teams using this internal behavioural data product to set expectations and and plot a rational roadmap for the maturing of this product, helping our user to use the data honestly and wisely. Usage tells you what happened, not why, or whether it mattered. We want someone who sets quantitative behaviour against qualitative evidence and treats the disagreement as the interesting part. AWS/Snowflake is our spine; capture and BI are open decisions you'll help make. Your models feed the business reviews our executive team, CTO and investors use to run the portfolio, and engineering is committed to instrument against your contract. Here's what your first twelve months should look like First 90 days. Learn the estate, meet the engineers who instrument it, and agree the measurement model for one product end to end — with a defensible adoption number and the qualitative read on what it means. Three to six months. Data contract published, instrumentation spec landed with engineering, first business unit building against it. Definitions, naming and versioned change control governed. Six to twelve months. Rolling out across the remaining business units through the BU-aligned analysts, portfolio reporting running on your numbers. Here's a breakdown of what you'll do (not all

Scale's LLM post-training platform team builds our internal distributed framework for large language model training. The platform powers MLEs, researchers, data scientists, and operators for fast and automatic training and evaluation of LLMs. It also serves as the underlying training framework for the data quality evaluation pipeline. Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely with Scale’s ML teams and researchers to build the foundation platform which supports all our ML research and development works. You will be building and optimizing the platform to enable our next generation LLM training, inference and data curation. If you are excited about shaping the future AI via fundamental innovations, we would love to hear from you! You will: Build, profile and optimize our training and inference framework. Collaborate with ML and research teams to accelerate their research and development, and enable them to develop the next generation of models and data curation. Research and integrate state-of-the-art technologies to optimize our ML system. Ideally you’d have: Passionate about system optimization Experience with multi-node LLM training and inference Experience with developing large-scale distributed ML systems Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc. Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc. Strong written and verbal communication skills to operate in a cross functional team environment. Nice to haves: Demonstrated expertise in post-training methods and/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc. Compensation packages at Scale for eligible roles include base salary, equity,

MeltPlan | Planning Engine for the Built Environment MeltPlan is building the “planning engine” for the $14 Tn construction industry, an AI system designed specifically to optimize decisions before construction begins. While design software optimizes use and aesthetics and construction software optimizes execution and control, MeltPlan is building the missing layer - software that optimizes decisions and tradeoffs upstream, before scope is locked, procurement begins, and change orders become inevitable. MeltPlan’s long-term goal is to help teams make construction “boring” by making planning more intense: surfacing constraints and tradeoffs early, aligning stakeholders before plans are frozen, and reducing the need for late-stage redlines, rework, and change orders. MeltPlan is founded by operators who have built at scale. Kanav previously co-founded Innovaccer, a $3Bn health-tech company focused on making US healthcare more affordable and accessible. He’s now applying that systems-level thinking to construction.He’s joined by Tanmaya Kala, former Project Executive at DPR Construction, who led large commercial, healthcare, and life sciences projects. We combine deep tech scale with real construction execution. What This Role Really Is We are hiring a UI Engineering Lead with minimum 10 years of work exp , to drive frontend architecture scalable UI systems, and user experience across internal and external applications. The role involves building modern web applications using React, TypeScript, Next.js, Vite, and TailwindCSS, while leading reusable component development and microfrontend architecture using Module Federation. You will work closely with product and engineering teams, integrate Firebase services, and ensure frontend quality through Playwright and Vitest testing frameworks. The ideal candidate should have strong expertise in frontend engineering, scalable design systems, and modern UI architecture. What You’ll Do Build and maintain scalable frontend

MeltPlan | Planning Engine for the Built Environment MeltPlan is building the “planning engine” for the $14 Tn construction industry, an AI system designed specifically to optimize decisions before construction begins. While design software optimizes use and aesthetics and construction software optimizes execution and control, MeltPlan is building the missing layer - software that optimizes decisions and tradeoffs upstream, before scope is locked, procurement begins, and change orders become inevitable. MeltPlan’s long-term goal is to help teams make construction “boring” by making planning more intense: surfacing constraints and tradeoffs early, aligning stakeholders before plans are frozen, and reducing the need for late-stage redlines, rework, and change orders. MeltPlan is founded by operators who have built at scale. Kanav previously co-founded Innovaccer, a $3Bn health-tech company focused on making US healthcare more affordable and accessible. He’s now applying that systems-level thinking to construction.He’s joined by Tanmaya Kala, former Project Executive at DPR Construction, who led large commercial, healthcare, and life sciences projects. We combine deep tech scale with real construction execution. What This Role Really Is Code writing is a commodity. We’re not hiring someone to close tickets. We’re hiring someone who: Is biased toward building Thinks in systems Designs for scale and resilience Reviews architecture, not just PRs Can move fast without creating long-term mess You’ll ship products daily. You’ll also help shape the system so it doesn’t collapse under growth. What You’ll Do Build end-to-end features (DB → API → UI) Design scalable data models and backend architecture Ship clean, production-grade frontend experiences Review and improve system design decisions Work directly with founders on product direction Help define engineering standards as we scale What We’re Looking For Strong backend fundamentals (APIs, databases, performance, system desi

MeltPlan | Planning Engine for the Built Environment MeltPlan is building the “planning engine” for the $14 Tn construction industry, an AI system designed specifically to optimize decisions before construction begins. While design software optimizes use and aesthetics and construction software optimizes execution and control, MeltPlan is building the missing layer - software that optimizes decisions and tradeoffs upstream, before scope is locked, procurement begins, and change orders become inevitable. MeltPlan’s long-term goal is to help teams make construction “boring” by making planning more intense: surfacing constraints and tradeoffs early, aligning stakeholders before plans are frozen, and reducing the need for late-stage redlines, rework, and change orders. MeltPlan is founded by operators who have built at scale. Kanav previously co-founded Innovaccer, a $3Bn healthtech company focused on making US healthcare more affordable and accessible. He’s now applying that systems-level thinking to construction.He’s joined by Tanmaya Kala, former Project Executive at DPR Construction, who led large commercial, healthcare, and life sciences projects. We combine deep tech scale with real construction execution. What This Role Really Is We are looking for an AI Research Scientist – Computer Vision to enhance and manage the PlanGraph model, which transforms 2D drawings into structured graphical representations of building elements. The role involves solving downstream business use cases such as quantity takeoff, code compliance, value engineering, and constructability analysis.We are specifically looking for hands-on researchers with experience in solving real-world Computer Vision problems and building custom vision models, VLMs, or VLLMs for production-grade applications. What You’ll Do Build and optimize custom Computer Vision models, VLMs, and VLLMs for construction intelligence workflows. Solve downstream business use cases including quantity takeoff, code complianc

About the job Lead the team that proves our AI silicon performs reliably before it reaches customers. You will build and lead Graphcore's characterisation capability for next generation silicon and system platforms. Your work will help ensure our products perform consistently across real world conditions. You will define bring up and characterisation strategies, lead technical execution, and shape the lab infrastructure needed for success. You'll work across silicon, hardware, manufacturing, architecture and product teams to solve complex engineering challenges. This is a hands on leadership role with the opportunity to influence both product design and how Graphcore validates future AI systems. The team and culture This is a newly formed team within Manufacturing Operations. You'll have the opportunity to establish how the team works while building strong partnerships across engineering and operations. Day to day, you'll work closely with architecture, silicon, hardware, production test and product teams. Decisions are driven by data, technical evidence and close collaboration across disciplines. We value ownership and clear communication. You'll be trusted to lead technical direction, remove blockers and help teams make progress with confidence. What we're looking for Essential Proven track record of delivering complex technical projects as an individual contributor, manager, or project manager, with the ability to work independently and drive execution. Strong expertise in silicon digital device design, bring-up, characterisation, and silicon process technologies, with an understanding of their impact on transistor- and system-level performance. In-depth knowledge of high-performance processors, system-on-chip (SoC) architectures, and high-speed digital interfaces such as PCIe, Ethernet, and DDR. Experience with measurement automation, data analysis, and scripting/coding to develop automated test and analysis workflows, with familiarity of ATE systems and t

About the Role: We are looking for a Senior DevOps Engineer to join our DevOps team at K Health. You will own and evolve the infrastructure underpinning a healthcare AI platform serving patients and enterprise health system partners. This is a high-ownership role: you will architect and operate cloud environments across K Health and its enterprise partners, lead complex infrastructure migrations, drive disaster recovery programs, and help build the next generation of AI-powered operations tooling. You will also mentor junior engineers and collaborate closely with product and engineering teams across the company. This is a hybrid role based in New York City (4 days/week in office) and includes participation in a daytime on-call rotation. What you will do: Own the design, implementation, and evolution of our GKE-based Kubernetes infrastructure across K Health and enterprise partner environments. Build and maintain our Terraform modular infrastructure library, including reusable modules with automated testing, across GCP, Cloudflare, and AWS. Architect, build, and maintain GitLab CI/CD shared pipeline templates used by all engineering teams (build, test, security scanning, deployment). Own and maintain self-hosted infrastructure software running in-cluster, including GitLab, ArgoCD, Langfuse, DependencyTrack, NGINX Ingress, and others. Implement and support security and compliance controls across infrastructure and the software supply chain - secrets management, pipeline secret detection, container scanning, SOC2 and HIPAA. Drive disaster recovery readiness: design failover scenarios, author runbooks, and lead periodic DR tests. Lead development of AI-powered operations tooling and agentic infrastructure. Monitor, troubleshoot, and improve production system reliability; respond to incidents during on-call shifts. Mentor junior DevOps engineers and establish team-wide engineering standards. What we are looking for: 5+ years of experience in DevOps, platform engineering,

About the Team As one of DoorDash's core operations teams, Customer Experience ensures that when issues arise across the platform, there is a reliable and effective support system in place. Our team designs, manages, and continuously improves DoorDash's global support network, with the goal of delivering a high-quality and consistent customer experience. This role sits within the Safety Customer Experience team, focused on the most critical and high-risk incidents on the platform. The team owns some of the most sensitive customer interactions at DoorDash, where thoughtful operational and product decisions directly improve customer trust and platform safety. About the Role You'll operate at the intersection of Product, Operations, and Customer Experience to improve how DoorDash prevents, identifies, and responds to the most critical safety incidents on the platform. You'll partner closely with Product, Policy, Analytics, and Operations to design scalable solutions that deliver accurate, timely support during customers' highest-stakes moments. This role requires a detail-oriented operator who can navigate complex problem spaces, design scalable processes, and execute with precision in a fast-paced environment. You’ll be expected to take ownership of ambiguous, high-stakes problems and translate them into structured, actionable solutions. You’re excited about this opportunity because you will… Drive Safety Strategy – Partner with cross-functional teams to identify and execute initiatives that improve how DoorDash prevents, identifies, and responds to safety incidents. Own End-to-End Experience – Design and optimize the full lifecycle of safety incident handling, including reporting, workflows, support execution, and tooling. Drive Data-Driven Decisions – Leverage data and case-level insights to identify root causes, measure performance, and prioritize opportunities to improve the safety customer experience. Influence Cross-Functionally – Collaborate with Product, Engin

Well groomed and atleast 12th pass out and suitable for admin related work Address: & 34 Aryabhatta-Pingala Kashibai Khilare Road Opposite Sharda Center Erandawne Pune& 34 Facility: Persistent System-Aryabhhat Pingla IFM P Qualification: 12th Experience: 3 - 5 years Source: Sodexo India | Job Code: IJP574948

He should be very well versed with HK activities Address: & 34 Aryabhatta-Pingala Kashibai Khilare Road Opposite Sharda Center Erandawne Pune& 34 Facility: Persistent System-Aryabhhat Pingla IFM P Qualification: 12th Experience: 3 - 5 years Source: Sodexo India | Job Code: IJP574903