Role Description We are looking for a highly skilled GPU Compute, MLIR Compiler, and Kernel Optimization Engineer with deep expertise in GPU compute, MLIR-based code generation, and end-to-end performance optimization for AI workloads. In this role, you will design, optimize, and deploy high-performance GPU compute kernels, build and extend MLIR compiler backends, and collaborate closely with ML, runtime, and hardware teams to push the limits of performance on modern GPU architectures. - Develop and optimize GPU compute kernels targeting OpenCL and Vulkan compute backends for high-throughput AI/ML workloads. - Design, build, and extend MLIR dialects across multiple abstraction levels—including frontend dialects, graph-level IR, tensor IR (e.g., Linalg, Tensor, TOSA), and runtime/low-level dialects—to enable efficient end-to-end model compilation. - Implement and maintain MLIR-based compiler passes and transformations, including tiling, fusion, bufferization, vectorization, and lowering pipelines targeting OpenCL and Vulkan GPU backends. - Conduct profiling and bottleneck analysis of compiled kernels using GPU counters and vendor-specific profilers, and drive performance improvements through compiler-level optimizations. - Build and maintain GPU runtime infrastructure for both OpenCL and Vulkan, including memory management, pipeline setup, command buffer orchestration, and resource scheduling. - Develop and extend code generation pipelines, enabling automatic lowering from tensor IR through MLIR to efficient OpenCL and Vulkan GPU kernels. - Implement performance-critical schedules—including tiling, loop fusion, parallelism, and caching strategies—within MLIR-based backends targeting OpenCL and Vulkan runtimes. - Collaborate with framework teams to optimize end-to-end model lowering for computer vision and LLM workloads using MLIR compilation stacks. - Design and implement robust compiler and runtime components using modern C/C++, leveraging advanced programming paradigms for high-performance systems. Qualifications - Strong hands-on experience with the MLIR framework, including authoring and extending custom dialects, writing compiler passes, and building end-to-end lowering pipelines. - Deep expertise across MLIR abstraction levels: - Frontend dialects – ingestion and representation of ML models (e.g., TOSA, StableHLO, ONNX-MLIR) - Graph-level IR – high-level operation fusion, shape inference, and graph transformations - Tensor IR level – structured operation representation using Linalg, Tensor, and Vector dialects; tiling and fusion strategies - Runtime/low-level dialects – Bufferization, MemRef, SCF, GPU, and LLVM dialects for final code generation - Strong hands-on experience in OpenCL programming, including kernel development, memory model, work-group/work-item optimization, and OpenCL runtime management. - Solid understanding of Vulkan compute programming, including descriptor management, compute pipelines, synchronization primitives, and Vulkan runtime internals. - Strong understanding of GPU architecture, memory hierarchies, and asynchronous compute. - Proficiency in C/C++ for system-level development. - Experience with kernel profiling and bottleneck analysis on GPU platforms. - Strong background in machine learning fundamentals, covering both Computer Vision (CV) and Large Language Model (LLM) workloads. Requirements - Must-have skills: gpu computing, MLIR, C/C++ - Good-to-have skills: vulkan, Kernel, OpenCL Benefits - Salary range: Rs 2000000 - Rs 10000000 (ie INR 20 - 100 LPA) - Min Experience: 3+ years - Location: India - Job Type: full-time

Title: Senior Technology Engineer Location:Pittsburgh, PA Job Code:299828 Posted:Aug 19, 2025 Description: Mastech Digital provides digital and mainstream technology staff as well as Digital Transformation Services for all American Corporations. We are currently seeking a Senior Technology Engineer for our client in the Banking domain. We value our professionals, providing comprehensive benefits and the opportunity for growth. This is a Contract to Hire position, and the client is looking for someone to start immediately. Duration: 12 Months Contract to Hire Location: Pittsburgh, PA – open for Dallas, TX or Strongsville, OH. Ability to work remote: Hybrid - 3 days in office, 2 remote REQUIRED Salary: $120,000-$130,000/Annually Role: Senior Technology Engineer Primary Skills: JavaScript Role Description: The Senior Technology Engineer must have 6-8 years of experience. Required Qualifications: - Bachelor’s degree (Computer Science, Software Engineering, or relevant field) or equivalent work experience required. - ServiceNow background, Prior Banking - 6-8 years of experience in designing and developing Order Guides, Catalogs, and Record Producers. - Build and maintain integration with other systems via REST/SOAP API, MID Servers, and Integration Hub. - Strong knowledge of ITSM modules: Change, Incident, Problem, and Knowledge. - Hands-on experience customizing ServiceNow and implementing HRSD, Employee Center Pro, and Agent Workspace. - Experience with Integrated Risk Management and Service Portfolio Management. - ServiceNow System Administration Certified (preferred). Duties: - Design and develop Order Guides, Catalogs, and Record Producers. - Implement HRSD, Employee Center Pro, and Agent Workspace with strong ITSM knowledge (Change, Incident, Problem, Knowledge). - Build/maintain integrations via REST/SOAP API, MID Servers, and Integration Hub. - Customize ServiceNow with UI Policies, Client Scripts, Catalog Scripts, Business Rules, Script Includes, Scheduled Jobs, and Glide/JavaScript/Ajax. - Service Portfolio Management (SPM): Agile Development, PPM, Demand, Resource, Innovation, Cost, Test, Portfolio & Strategic Planning, Investment Funding, Scenario Planning. - Integrated Risk Management (IRM): Policy & Compliance, Risk, Audit, Cybersecurity Dashboards, Continuous Monitoring, Regulatory Change, Use Case Accelerators, GRC Metrics, and Compliance Case Management. Education: High School Degree and Bachelor’s degree (Computer Science, Software Engineering, or relevant field) or equivalent work experience required. Experience: Minimum 6-8 years of experience Relocation: This position will not cover relocation expenses Travel: No Local Preferred: Yes Note: Must be able to work on a W2 basis (No C2C) Recruiter Name: Preeti Sharma Recruiter Phone: 412.515.8261 Benefits: We have various coverages and additional benefits to choose from: - Medical, Dental (Including Ortho) & Vision Insurance (Option to Enroll). - Paid Leaves (Wherever applicable). - Life & Disability Coverage (Upon eligibility). - 401K Option, Education Assistance Program and more. Mastech Digital is an Equal Opportunity Employer - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Role Description At Mercury, we are committed to crafting an exceptional banking experience for startups. Our product engineering group is growing and we’re looking to hire senior full-stack engineers. We’re a team of pragmatic, product-minded engineers motivated by the desire to create lovable products that rescue our customers from frustrating, expensive legacy industry tools. As part of this role, you will: - Feel a strong sense of product ownership and actively seek responsibility – we often self-organize on small/medium projects, and we want someone excited to help shape and build Mercury’s future. - Work in an autonomous environment on a close-knit team, with a “startup within a startup” feel. - Partner closely with designers and product leaders to ship lovable experiences. - Join a team of experienced product engineers within one of our Mercury product groups such as Banking, Experiences, Expansion, or Risk. Qualifications - 3-7 years of full-stack development experience. - Knowledge of or excitement to learn Haskell, React, TypeScript, and Redux. - Empathizes with users and can channel their perspective to build lovable products. - Can balance tradeoffs and find creative solutions to accomplish goals. - Actively incorporates AI tools into their workflow and is excited about leveraging them to amplify their impact. - Communicates and collaborates effectively with peers and cross-functional counterparts. Requirements - If this role interests you, we invite you to explore our public demo at demo.mercury.com. Benefits - The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits. - Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. - New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers. - Our target new hire base salary ranges for this role are the following: - US employees (any location): $166,600 - $208,300 - Canadian employees (any location): CAD 157,400 - 196,800

Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow- helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description What you get to do in this role: - Become an SME in production database troubleshooting, ServiceNow instance performance issues and Linux performance analysis on prem and on Hyperscaler - Own complex incident RCA across multi-tenant PostgreSQL/MariaDB fleets at scale - Develop observability and automation to prevent recurrence of critical issues - Influence infrastructure decisions that shape our multi-tenant cloud platform - Mentor and collaborate with engineers across operations, support, and developmen - Strong experience with performance and stress testing tools and approaches for driving realistic customer simulations - 5+ years of database management and performance tuning - 5+ years of experience supporting or testing large scale web-based distributed applications on containers such as Apache/Tomcat, JBoss, Web Logic, and Web Sphere in a Unix environment - 3+ years of experience developing on a SaaS, PaaS, or Cloud Infrastructure product/solution - Proven experience with concurrency, multithreading, and distributed system architectures - Unix skills: including development, navigation, file manipulation, permissions, searching/finding files and text contents, and administrative actions - Strong problem-solving and analytical skills with an aptitude for learning new technologies - developing and deploying mission critical software - Bachelor's degree in Computer Science or Information Systems or equivalent technical discipline, or similar work experience. - Eagerness to learn everything about the ServiceNow Platform Qualifications To be successful in this role you have: - Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. - 4+ years of experience on multiple relational databases (especially on Postgres database) The database experience should include but not limited to MVCC, transaction management, vacuum mechanics, database and query performance tuning, buffer management, WAL architecture, backup/restore etc. Desired skills: - Scripting: basic shell scripting, Python, Javascript, Ansible - Formal experience on a DevOps(Kubernetes and CICD pipeline) or Performance or support team supporting a Web-Based application is desired - Demonstrated experience leading individual projects, including scheduling and reporting - Formal experience on a DevOps or Performance or support team is desired JV20 Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.