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What you’ll be doing:
Working with tech giants to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies.
Partnering with Sales Account Managers and Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.
Serving as the main technical point of contact for customers engaged in the development of intricate AI infrastructure, while also offering support in understanding performance aspects related to tasks like large scale LLM training and inference.
Conducting regular technical customer meetings for project/product details, feature discussions, introductions to new technologies, performance advice, and debugging sessions.
Collaborating with customers to build Proof of Concepts (PoCs) for solutions to address critical business needs and support cloud service integration for NVIDIA technology on hyperscalers.
Analyzing and developing solutions for customer performance issues for both AI and systems performance.
What we need to see:
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
4+ years of engineering(performance/system/solution)experience.
Hands-on experience building performance benchmarks for data center systems, including large scale AI training and inference.
Understanding of systems architecture including AI accelerators and networking as it relates to the performance of an overall application.
Effective engineering program management with the capability of balancing multiple tasks.
Ability to communicate ideas clearly through documents, presentations, and in external customer-facing environments.
Ways to stand out from the crowd:
Hands-on experience with Deep Learning frameworks (PyTorch, JAX, etc.), compilers (Triton, XLA, etc.), and NVIDIA libraries (TRTLLM, TensorRT, Nemo, NCCL, RAPIDS, etc.).
Familiarity with deep learning architectures and the latest LLM developments.
Background with NVIDIA hardware and software, performance tuning, and error diagnostics.
Hands-on experience with GPU systems in general including but not limited to performance testing, performance tuning, and benchmarking.
Experience deploying solutions in cloud environments including AWS, GCP, Azure, or OCI as well as knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center deployments, etc. Command line proficiency.
You will also be eligible for equity and .
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What you'll be doing:
Define the strategy and execution plans for successfully integrating complex AI model tech stacks in customer environments, fromevaluation/proof-of-concepttodesign/development/qualification/validation,to production launch
Execute the plan you craft by: scoping the project, identifying and assembling the core support team, formally kicking off the project with customers, developing a joint project timeline, supporting the design-in effort by providing technical collateral/tools, leading engineering design reviews, ensuring the implementation of certain customer-required features, driving resolution of any blocking issues, and ensuring timely customer acceptance and production deployment
Translate customer requirements into specific tasks and assign those tasks to relevant functional areas with ease. Collecting, prioritizing, tracking, and driving customer-reported issues to resolution/closure is a key focus of this role.
Clearly and intelligently communicate issue status to the customer and internal (including executive) teams
Work closely with engineering, product management, and sales teams to resolve technical issues, set correct expectations and keep the scope of the projects on track to successful execution
Effectively organize and lead complex technicalengineering-to-engineeringdiscussions
Correctly represent the urgency of issues and raise them (internally and/or externally) as appropriate
Regularly communicate program status and key issues to management
Develop a close working relationship with customer development teams and use creativity to find solutions to their issues
What we need to see:
BS/MS Engineering or Computer Science (or equivalent experience)
8+ years in a high-tech electronics industry with a focus on program/project management
Experience and therefore deep customer savvy born of running significant and complex software engagement programs, especially with strategic customers with large datacenter deployments
Strong technical savvy, including software qualification and deployment on AI infrastructure in a datacenter OR Cloud
Supreme leadership skills across broad and diverse functional teams
Validated history of 5+ years of project/program management of software product solutions
Strong technical background and experience working with customers in a clouddevelopment/deploymentand/or OEM environment
Experience leading global projects
Ways to stand out from the crowd:
Graphics, and/or cloud datacenterdevelopment/deploymentexperience desirable
Comfortable defining and executing complex program schedules with intimate understanding of dependencies, critical paths, key and critical landmarks, and deliverables
Consistent record of handling multiple customers and customer programs across worldwide geographies and time zones
You will also be eligible for equity and .
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About the role:
As a Field Service Technician II (MedSurg) at Boston Scientific, you will be on the front lines of delivering excellence in service for our innovative capital equipment portfolio. In this field-based role, you will be responsible for pre-installation assessments, installations, maintenance, troubleshooting, and service repair of a range of capital devices. These include Exalt-D Controller, StoneSmart Connect Console, Fluid Management System (FMS), iNod Console, and future capital products supporting our endoscopy and urology customers.
You will partner closely with the Field Sales Organization and other cross-functional teams to ensure our customers receive best-in-class support both onsite and remotely—enabling smooth clinical operations and a high-quality patient experience.
Your responsibilities will include:
Proposing system configurations compatible with endoscopic procedure room equipment
Managing clinical and technical customer relationships and expectations
Ensuring seamless evaluation periods and resolving adoption barriers during implementation
Capturing, tracking, and reporting customer issues through the Quality system
Providing technical and process support both onsite and remotely in collaboration with internal teams
Documenting systems and procedure rooms for remote support purposes
Updating account records, and creating installation and field service reports in Salesforce
Partnering with R&D and Commercialization teams to support new product launch activities
Reporting field activities and performing electronic troubleshooting and component replacement
Delivering in-servicing and training sessions for medical personnel
Performing preventative and corrective maintenance and product upgrades
Handling complaints and documenting them in the complaint handling system
Installing systems and performing related duties, including special projects
Required qualifications:
Minimum of 1 year’s experience in a relevant technical role, with an AA degree or equivalent education/work experience
Proficiency in computer networking, equipment troubleshooting, and administrative tasks
Familiarity with standard electronic test equipment
Ability to travel frequently and on short notice (up to 85%)
Ability to manage expenses, coordinate travel, and handle customer interactions professionally
Possession of a service vehicle (five years old or newer) and ability to meet insurance requirements
Clean driving record
Ability to lift up to 75 lbs and sit/work at a computer for extended periods
Experience working in hospitals and/or ambulatory surgery centers
Strong verbal and written communication skills across diverse audiences
Effective organizational skills and ability to manage multiple concurrent projects
Ability to diagnose and resolve video and IT system issues in healthcare environments
Ability to walk and stand for up to 4 hours
Proficiency with business software tools, including the Microsoft Office Suite
Preferred qualifications:
Over 1 year of field service experience, preferably in medical equipment
Two-year college degree (AA) with a focus in Biomedical Engineering or Electronics
Prior experience in Technical Field Service, Biomedical roles, or Military technical MOS
Demonstrated ability to work independently with minimal supervision and effectively manage multiple assignments
Maximum Salary: $ 91416
Compensation fornon-exempt (hourly), non-sales rolesmay also include variable compensation from time to time (e.g., any overtime and shift differential) and annual bonus target (subject to plan eligibility and other requirements).
Compensation forexempt, non-sales rolesmay also include variable compensation, i.e., annual bonus target and long-term incentives (subject to plan eligibility and other requirements).
For MA positions: It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.
Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.
Among other requirements, Boston Scientific maintains specific prohibited substance test requirements for safety-sensitive positions. This role is deemed safety-sensitive and, as such, candidates will be subject to a prohibited substance test as a requirement. The goal of the prohibited substance testing is to increase workplace safety in compliance with the applicable law.
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What you'll be doing:
Serve as the primary, high-impact contributor on complex features. Dedicate significant time to producing production code across the full stack, including UI, APIs, services, and infrastructure.
Code Review Leadership & Quality Assurance: Lead the code review process, setting and implementing thorough coding standards, performance benchmarks, and architectural integrity to ensure all merged code is high-quality, maintainable, and robust.
Architectural Ownership & Portability: Define and own the long-term technical roadmap, architecture, and design. This includes the required assurance that the deployment pipelines and services are platform-agnostic and easily deployable across the broader NVIDIA ecosystem, deliberately avoiding internal infrastructure dependencies.
Foundation Model Deployment Strategy: Lead the strategic implementation of web services and efficient batch processing queues to seamlessly integrate and operationalize our world foundation models into the customer-facing platform.
System Performance & Reliability: Implement and make sure standards for production-grade performance, monitoring, and fault tolerance across all services. Proactively identify and resolve systemic technical debt and scalability bottlenecks.
Deployment & Operational Excellence: Take ultimate ownership of the CI/CD pipelines, container orchestration strategy (Kubernetes/Helm), and operational readiness, ensuring seamless scalability and reliability in production.
Team Mentorship & Guidance: Mentor and guide the engineering team on advanced practices in full-stack development, distributed systems design, performance optimization, and clean, portable code architecture.
Multi-functional Partnership: Act as the key technical liaison, translating complex requirements from Product Managers, ML Engineers, and Data Scientists into robust, portable, and implementable designs.
What we need to see:
This role requires a proven track record of significant experience and technical mastery:
Minimum 12+ years of hands-on experience developing and deploying scalable full-stack web services in a cloud environment.
Proven Tech Lead or equivalent Senior/Staff level experience with demonstrated ability to define system architecture, mentor engineers, and take end-to-end technical ownership of a major platform while remaining deeply active in coding and code reviews.
Expert-level proficiency in designing and scaling distributed microservices architectures using gRPC and REST APIs.
Deep expertise in modern frontend frameworks and building highly responsive, data-intensive UIs capable of managing high-frequency data flows.
Direct experience designing and deploying containerized applications that use a GPU (e.g., NVIDIA Container Toolkit).
Experience with MaaS (Model-as-a-Service) patterns and serving large machine learning models as high-throughput endpoints.
Mastery of container orchestration, including Kubernetes and Helm for sophisticated, portable, multi-service production deployments.
Proficiency in backend languages such as Python and/or Go, and TypeScript for the frontend.
Strong practical experience with Cloud Infrastructure (AWS S3) and running complex data storage/access patterns (SQL, key-value stores).
Expertise in CI/CD practices (GitLab, Jenkins) with a focus on automation, testing, and improving deployment velocity and stability.
Bachelor's degree (B.S.) or equivalent experience in Computer Science, Software Engineering, Electrical Engineering, or a closely related technical field; Master's degree (M.S.) preferred
Ways to stand out from the crowd:
These skills represent a strong alignment with our specific domain challenges:
Experience in data querying platforms such as Apache Druid, ClickHouse, or Elasticsearch.
Familiarity with autonomous vehicle simulation environments (e.g., Carla) and synthetic data generation pipelines using foundational models.
You will also be eligible for equity and .
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Your responsibilities will include:
Required Qualifications:
Preferred Qualifications:
The anticipated annualized base amount or range for this full time position will be, plus variable compensation governed by the Sales Incentive Compensation Plan (which includes certain annual non-discretionary incentives based on predetermined objectives) as well as the value of core and optional benefits offered at BSC, which can be reviewed at www.bscbenefitsconnect.com. Actual compensation will be commensurate with demonstrable level of experience and training, pertinent education including licensure and certifications, and other relevant business or organizational needs.
For MA positions:It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.
Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.
Among other requirements, Boston Scientific maintains specific prohibited substance testing requirements for safety-sensitive positions. This role is deemed safety-sensitive and, as such, candidates will be subject to a drug test as a pre-employment requirement. The goal of the drug testing is to increase workplace safety in compliance with the applicable law.
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In this role, you will be under the direction of the Product Analysis Manager to support activities related to product root-cause failure investigations on electro-mechanical drug delivery devices in a biohazard laboratory. You will additionally drive investigation process lean initiatives, manage communication with internal and external customers, train team members on new devices and assist with coordinating work for the lab technicians.
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About the role:
Boston Scientific is looking for a Fellow Electrical Engineer. You will be responsible for providing electrical and electronic engineering support and expertise in the definition, design, development and test of products in accordance with the Quality system standards, Design Controls and customer requirements. Ensures products are designed to facilitate manufacturability.
Your responsibilities will include:
Required qualification:
Preferred qualifications:
Maximum Salary: $ 243000
Compensation fornon-exempt (hourly), non-sales rolesmay also include variable compensation from time to time (e.g., any overtime and shift differential) and annual bonus target (subject to plan eligibility and other requirements).
Compensation forexempt, non-sales rolesmay also include variable compensation, i.e., annual bonus target and long-term incentives (subject to plan eligibility and other requirements).
For MA positions: It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.
Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.
Among other requirements, Boston Scientific maintains specific prohibited substance test requirements for safety-sensitive positions. This role is deemed safety-sensitive and, as such, candidates will be subject to a prohibited substance test as a requirement. The goal of the prohibited substance testing is to increase workplace safety in compliance with the applicable law.
These jobs might be a good fit

Share
What you’ll be doing:
Working with tech giants to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies.
Partnering with Sales Account Managers and Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.
Serving as the main technical point of contact for customers engaged in the development of intricate AI infrastructure, while also offering support in understanding performance aspects related to tasks like large scale LLM training and inference.
Conducting regular technical customer meetings for project/product details, feature discussions, introductions to new technologies, performance advice, and debugging sessions.
Collaborating with customers to build Proof of Concepts (PoCs) for solutions to address critical business needs and support cloud service integration for NVIDIA technology on hyperscalers.
Analyzing and developing solutions for customer performance issues for both AI and systems performance.
What we need to see:
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
4+ years of engineering(performance/system/solution)experience.
Hands-on experience building performance benchmarks for data center systems, including large scale AI training and inference.
Understanding of systems architecture including AI accelerators and networking as it relates to the performance of an overall application.
Effective engineering program management with the capability of balancing multiple tasks.
Ability to communicate ideas clearly through documents, presentations, and in external customer-facing environments.
Ways to stand out from the crowd:
Hands-on experience with Deep Learning frameworks (PyTorch, JAX, etc.), compilers (Triton, XLA, etc.), and NVIDIA libraries (TRTLLM, TensorRT, Nemo, NCCL, RAPIDS, etc.).
Familiarity with deep learning architectures and the latest LLM developments.
Background with NVIDIA hardware and software, performance tuning, and error diagnostics.
Hands-on experience with GPU systems in general including but not limited to performance testing, performance tuning, and benchmarking.
Experience deploying solutions in cloud environments including AWS, GCP, Azure, or OCI as well as knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center deployments, etc. Command line proficiency.
You will also be eligible for equity and .
These jobs might be a good fit