Senior Manager Erm Jobs

We anticipate the application window for this opening will close on - 22 Oct 2026 Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72&#43; million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life We are seeking a committed professional to join our team. While this is a remote position not located at a physical Medtronic site, the candidate hired will be required to reside within the territory and drive to multiple accounts throughout the region. A valid driver's license is essential for this role. As one of three comprehensive portfolios at Medtronic, Neuroscience is dedicated to improving the lives of people living with neurological disorders, spine conditions, and chronic pain. Guided by our Mission—to alleviate pain, restore health, and extend life—we develop technologies and therapies that help people regain function, reduce pain, and return to the activities that matter most. Our Pelvic Health Operating Unit advances care for patients living with bladder and bowel control conditions through targeted, minimally invasive neuromodulation therapies, including sacral and tibial solutions. Designed to modulate nerve pathways and restore communication between the brain and pelvic floor, these programmable therapies deliver personalized treatment supported by strong clinical evidence and long-term outcomes—helping improve confidence, independence, and quality of life. Check us out on LinkedIn: <a href="https://www.l

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to seek, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today. What you’ll be doing: Working closely with product design engineers, you'll perform PCB layout of high speed/high-density value-conscious PCBs for all business units at NVIDIA (GPU Desktop, Notebook, Automotive, Professional, Data Center, Deep Learning, and AI), all using Cadence PCB design tools. Focus will be on the complete development of CAD layout from symbol creation, floor planning, and detailed component placement, constraints management, with a concept of topology and signal/trace integrity. You will be responsible for the design releases required generation of artwork files, ODB&#43;&#43;, and electronic PCB documentation. Your designs will need to follow SI constraints, EMI/RFI control and FCC, UL and European regulations, IPC specifications and NRC regulations. What we need to see: B.Sc. in Electronic Engineer degree or equivalent experience. 5&#43; years of experience in high-speed design. Having a detailed knowledge of circuit design and consideration for layout, routing, and timing constraints, DFM, DFA, DFT constraints in volume manufacturing is needed for this role. Be an authority in using Cadence Allegro PCB design tools. Have a deep understanding of High-Density Interconnect PCB layout and PCB Signal Integrity. Knowledge in PCB ma

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We're looking for a Senior Performance Compiler Engineer to join our team and work on the open-source Triton compiler project. This opportunity involves working with new technologies and using compilers to improve AI performance on NVIDIA GPUs. Your work will enable breakthroughs in large language models, agents, and other high-impact AI applications, accelerating both training and inference. You will be immersed in a diverse, supportive environment where everyone is inspired to do their best work, pushing the limits of what's possible. What you’ll be doing: Investigating the latest and future NVIDIA GPU hardware architecture and programming models. Working on the frontier of AI by understanding advanced algorithms (like attention sinks and MoEs) and numerics (like block-scaled floating point) to identify new opportunities for optimization. Designing and implementing compiler technology using MLIR to optimize high-level kernel descriptions (written in Triton's Python DSL), with a focus on generating efficient, low-level GPU code. When vital, you'll also be able to use inline PTX to hand-tune critical code paths and extract peak performance from the hardware. Engaging in a dynamic, iterative process of optimization—sometimes starting with the kernel, sometimes with the compiler—to find the most efficient path to peak performance. Collaborating with teams across NVIDIA, including hardware architects and the CUDA compiler team, t

We’re hiring a Senior Solutions Architect to drive technical engagement with NVIDIA partners, OEMs, and customers across NVIDIA AI Factory solutions, focusing on on-premises enterprise solutions. In this role, you’ll connect real-world customer workloads to NVIDIA’s hardware and software ecosystem, helping developers and enterprises adopt and scale our platforms. We’re looking for someone with strong technical depth who can serve as a trusted advisor, bridge complex challenges to innovative solutions, and grow into a strategic resource for the customers and partners you support. If you’re excited about applied technology and enabling others to succeed with advanced platforms, we’d love to hear from you! What you’ll be doing: Serve as a trusted advisor who understands complex or large-scale customer workloads and maps them to NVIDIA’s technology stack to achieve measurable outcomes. Co-design advanced, scalable architectures with NVIDIA integration partners, select OEMs, and key end customers, defining technical direction, integration milestones, and deployment plans. Engage hands-on with deep technical topics—designing, validating, and supporting solutions that enable customer success. Identify gaps between customer and partner needs and NVIDIA offerings, communicating insights that shape internal product and engineering priorities. Lead technical engagements, helping customers troubleshoot, resolve complex issues, and advocate for their technical needs. Drive technical enablement and platform adoption, helping developers and enterprises integrate NVIDIA SDKs, frameworks, and systems. Partner cross-functionally with engineering and product teams to ensure successful deployment and continuous improvement of NVIDIA solutions. Become an authority who builds and shares knowledge and infrastructure insights for NVIDIA platforms. Act as a resource to help tailor on-premises so

NVIDIA is seeking a senior systems software engineer to help engineering teams run demanding build, simulation, and validation workloads efficiently and reliably. Our Workload Systems Engineering team connects customer workflows with the infrastructure that performs them. We develop self-service mechanisms and clear diagnostics, investigate performance and reliability across system boundaries, and deliver measured infrastructure improvements with the teams that own the underlying components. Your responsibilities include enabling application configuration, remote execution, workers, hosts, GPU and CPU resources, storage, data paths, and on-target systems. The position requires direct system evaluation: diagnosing causes of slow or failing workloads, trying alternatives in representative scenarios, applying improvements with others, and verifying customer advantages. What you'll be doing: Build shared self-service and validation mechanisms that let engineering teams configure and use supported infrastructure workflows with less manual assistance. Give customers and on-call teams useful diagnostic views across application, submission, remote-execution, and host or target layers so they can identify where failures and slowdowns originate. Set performance and reliability benchmarks for representative workloads. Apply profiling, metrics, traces, and controlled experiments to pinpoint the changes that make a difference. Evaluate and improve compute and GPU selection, scheduling and placement, concurrency, worker and runner configuration, resource sharing, caching, and input/output paths. Make retry causes, recovery outcomes, and wasted execution capacity visible. Work with component owners to eliminate recurring failures and unnecessary re-execution. Implement and validate infrastructure-level changes with application, build and CI, remote-execution, and infrastructure teams. Measure

Join us at the forefront of AI compiler technology and help shape the future of accelerated computing. NVIDIA is seeking passionate engineers to build the next generation of tools used by AI developers and researchers worldwide. Our team is developing Thunder , an ambitious, source-to-source compiler built to unlock outstanding performance for PyTorch models on NVIDIA GPUs. This is a unique opportunity to contribute to a project that enhances the PyTorch ecosystem, working with modern compiler stacks like PyTorch 2.0's TorchDynamo and TorchInductor to create powerful, open-source solutions that benefit the entire community. If you are driven to solve complex problems and want to make a foundational impact on the AI ecosystem, apply to join our collaborative and innovative team. What you'll be doing: As a key member of our team, you will be contributing directly to the future of accelerated AI. Your role will be dynamic and deeply technical, placing you at the center of compiler innovation. You will lead the design, implementation, optimization, and maintenance of the core compiler technologies that accelerate massive deep learning workloads. This is a highly collaborative role where you'll work alongside the very engineers who built PyTorch for NVIDIA hardware, helping to pioneer new features and stay at the forefront of framework development. You'll dive deep into performance analysis, scrutinizing workloads running on thousands of GPUs to find optimization opportunities that will shape the future design of Thunder. Furthermore, you will be part of a vibrant ecosystem, working closely with leading compiler, library, and systems teams—including experts behind nvFuser, TVM, XLA, and CUDA—to translate the latest research into practical, high-impact solutions for the open-source community. What we need to see: We are look

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. 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 looking for a Senior GPU Networking Architect to join our networking software group, bringing strong GPU architecture and programming skills to build and improve GPU communication kernels. This role links GPU computing with networking by making sure communication primitives are carefully developed alongside GPU hardware capabilities. Join our team of engineers developing the software foundation for the largest AI systems globally. What you will be doing: Build, implement, and optimize GPU communication kernels that underpin collective and point-to-point operations in large-scale AI systems. Leverage deep knowledge of GPU architecture—thread scheduling, memory hierarchy, execution pipelines—to improve kernel efficiency, minimize latency, and overlap computation with communication. Develop GPU-resident communication primitives and device-side APIs that enable fine-grained, kernel-initiated data movement across nodes and accelerators. Profile and tune GPU kernels end-to-end, identifying bottlenecks at the intersection of compute, memory, and network, and driving targeted optimizations. Collaborate with network software, hardware, and AI framework teams to co-design commun

NVIDIA seeks an exceptional Network Engineer to join the Vertical Verification Group. As a senior engineer, you will contribute to the Vertical Verification work, concentrating on validating and improving complex Ethernet and InfiniBand systems within NVIDIA’s Data Center and HPC environments. You will play a key role in testing advanced networking features, building complex customer-like topologies, and ensuring NVIDIA products meet industry-leading benchmarks of performance, efficiency, and quality. You will collaborate closely with architects, software engineers, and hardware teams across NIC, HCA, switches, CPUs, and GPUs in a fast-paced and highly technical environment. This is an outstanding opportunity to join a highly skilled team and contribute significantly to groundbreaking technology! What you’ll be doing: Review architecture, build, and requirements for new networking features across Ethernet and InfiniBand portfolios Compose and build complex testbed topologies that emulate customer environments Implement, run and optimize integration test plans including functional, regression, and performance testing Identify, reproduce, and debug issues; work closely with R&D to drive root cause analysis and resolution Collaborate with automation teams Analyze and optimize network performance, latency, and efficiency Provide clear status updates, reports, and insights on system quality and performance What we need to see: B.Sc. in Computer Science, Electrical Engineering, or related field (or equivalent experience) 8&#43; years of experience in networking, system validation, or related engineering roles Strong hands-on experience with Linux-based systems Deep understanding of networking protocols (TCP/IP, UDP, Ethernet, VLANs, L2/L3) Experience with routing, switching, and modern data center network architectures<

Our Purpose Mastercard powers economies and empowers people in 200&#43; countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Specialist, Product Strategy & Commercialization Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview The Arcus Commercialization team in Mexico City is looking for a Sr. Specialist to support the commercialization and ongoing management of Arcus solutions. The role willl combine product go-to-market strategy, business analytics, cross-functional execution, and business operations. The ideal candidate is analytical, proactive, customer-oriented with strong communication and problem-solving skills. Role In this position, you will: • Support and develop product value propositions, pricing and go-to-market strategies, leveraging customer, market, com

Pfizer Singapore is recruiting permanent employees for manufacturing site expansion of Pfizer Asia Manufacturing Pte Ltd (PAMPL) in Singapore POSITION SUMMARY Will be responsible for leading and driving Fire Safety & Emergency Management, Business Continuity Management and Security Management Systems to ensure compliance of all applicable laws and regulations, codes of practices and Pfizer EHS & Security Standards and provide technical guidance to support API plant operations not limited to essential programs such as risk assessment, job safety analysis, contractor safety, working at height, permit-to-work, lockout & tag out, electrical safety, confined space entry, fire safety, loss prevention, emergency preparedness, business continuity planning and physical security. Accountable for Drive Leader Standard Work to ensure compliance with all applicable local laws and regulations. Drive Internal audit to ensure compliance with applicable laws and regulations, Pfizer Global EHS & Security standards and recommended practices. Lead Site Emergency Preparedness and setup Company Shift Emergency Response Teams to respond Site emergency (e.g. fire, gas leak, large spillage, medical emergency) and mitigate the impacts of incident to minimize production downtime. Drive Operational Readiness of Security & Loss Prevention Management System and Programs and develop Business Continuity Management System. POSITION RESPONSIBILITIES Organize and train Shift Site Incident Commanders & Shift Emergency Response Teams (SERTs) and contract security personnel, and conduct performance management review with his/her direct reports (e.g. Contract Shift Security Officers). Ensure business activities are in compliance with all applicable WSH regulation, local fire safety, loss prevention and security laws & regulations, and Pfizer EHS and Global S

We are now looking for a Senior ASIC Design Engineer. NVIDIA is seeking ASIC Design Engineers to implement the world’s leading SoC's and GPU's. This position offers the opportunity to have real impact in a multifaceted, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing! What you'll be doing: As a key member of the GPU Design team, you will implement, document and deliver high performance, area and power efficient RTL to achieve design targets and specifications. Analyze architectural trade-offs based on features, performance requirements and system limitations. Craft micro-architecture, implement in RTL, and deliver a fully verified, synthesis/timing clean design. Collaborate and coordinate with architects, other designers, pre- and post-silicon verification teams, synthesis, timing and back-end teams to accomplish your tasks. Work on a broad list of IPs such as GPU's work scheduler, time distribution system, interrupt controllers, and DMA engines. Architect features to help silicon debug and support post-silicon validation activities. What we need to see: Bachelors Degree or equivalent experience in Electrical Engineering, Computer Engineering or Computer Science. 8&#43; years of meaningful work experience. Experience in micro-architecture and RTL development (Verilog), focused on arbiters, scheduling, synchronization & bus protocols, interconnect networks and/or caches. Great understanding of ASIC design flow including RTL design, verification, logic synthesis and timing analysis. Exposure to Digita

Our Purpose Mastercard powers economies and empowers people in 200&#43; countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Managing Consultant, Services Business Development - Fintech & Telecommunications Our Purpose We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data, technology, partnerships and innovation, our solutions help businesses, governments and consumers realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views and experiences. We believe our differences make us a stronger team, enabling better decisions, greater innovation and stronger business outcomes. Overview The Services team is a key differentiator for Mastercard, providing the cutting-edge capabilities that help our customers grow. Combining consulting expertise, data-driven insights, technology, and innovation, Services helps customers make smarter decisions, improve performance, strengthen customer engagement, and accelerate growth. Core capabilities include Consulting Services, Data, Insights & Analytics, Marketing Services, Dynamic Yield, and Test & Learn platforms. Mastercard is seeking a commercially driven business development l

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. 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. NVIDIA is seeking a Sr. Systems Software Engineer for the Apache Spark Acceleration group. Over the past five years GPU accelerated data processing has moved from proof of concept to production deployments. Many enterprises recognize accelerated computing is vital to handle their large data processing needs. Multi-node GPU deployments will reduce cloud computing costs and lower latency in batch ETL workloads. Apache Spark is the most popular data processing engine in data centers. At NVIDIA, we are developing an open source plugin to accelerate Spark applications on GPUs without any code changes. What you'll be doing: Enable C&#43;&#43; native execution of Spark operations on CUDA Develop CUDA/C&#43;&#43; libraries to accelerate DataFrames and I/O operations on common file formats such as Parquet, ORC and JSON Collaborate with distributed systems teams to craft solutions to distributed processing problems challenges at large scale Work with open source communities to enhance libraries like RAPIDS, CCCL and UCX through technical discussion and code contributions Provide recom

Senior Manufacturing Operations Analyst Company: The Boeing Company The Boeing Defense, Space & Security (BDS) team is seeking Senior Manufacturing Operations Analyst for Phantom Works located in Mesa, AZ to support our Specialty Materials Manufacturing portfolio. Our facility serves as a hub for advanced manufacturing, where we design and produce cutting-edge military products that are vital to national defense. We take pride in our commitment to quality, safety, and sustainability. We want you to join our team and contribute to the production of aircraft parts and assemblies made from composite materials. As a Manufacturing Operations Analyst you will conduct assessments of processes and practices for comparison to applicable standards and criteria. Analyze and interpret data. Provide feedback on assessment results. Work with organizations to develop strategies, plans and metrics to accomplish company initiatives using Lean methodologies or other applicable tools and processes. Work at the appropriate level in the organization to implement strategies and plans. Work under general direction. Key Responsibilities: Provide expertise to the work cell team on the appropriate path and resources required to efficiently and effectively resolve production issues. Use advanced technical knowledge, understanding of process flow, and networking skills to ensure issues are addressed and resolved by responsible support organization Utilize tracking system to document, communicate, and ensure resolve of production issues. Conducts assessments of processes and practices for comparison to applicable standards and criteria. Analyzes and interprets data and provide root cause corrective action and

We are looking to hire a senior CPU Compiler performance Engineer for an exciting and fun role at NVIDIA. We craft outstanding compilers that realise the potential of NVIDIA's CPUs designed for the world's largest AI and computing markets: https://www.nvidia.com/en-in/data-center/grace-cpu/ . Our compiler organisation makes its mark on every CPU, GPU and compute unit that NVIDIA builds. Would you like to be part of this outstanding organisation? We need you to design compiler and hardware software together including developing new technologies to help with hardware software co-design. These compilers are key for the performance of AI, HPC and other performance critical software deployed on NVIDIA Data Centres, on the cloud and at super computing centres around the world. In this role you will solve critical problems working alongside an outstanding engineering team with vision in Compiler technology and systems software, doing what you enjoy! You will also be collaborating with the relevant upstream projects and improving the state of the art If this sounds like a fun challenge, we would be delighted to hear from you!! What you will be doing: Work with a geographically distributed partner organisation to understand, modify and improve CPU Compiler SW at NVIDIA. Analyse AI workloads to champion improvements in both new hardware and compiler toolchain and improve hardware-software co-design. Contribute new features and optimisation techniques targeting NVIDIA CPUs engaging with upstream and open source communities. Develop compiler SW that is optimised for performance. Be part of a team that is at the centre of artificial intelligence, high-performance computing and data centre technologies. Contribute towards the development of next generation compute </