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What you’ll be doing:
Act as a technical advisor, collaborating with partner engineering teams on architecture, integration, and code for Isaac Sim, Isaac Lab, and AI-enabled robotics solutions.
Build and maintain deep expertise in NVIDIA robotics SDKs, with a focus on simulation and robot learning.
Track emerging trends in the robotics ecosystem to identify new opportunities.
Co-design and deliver advanced robotic solutions with partners—defining objectives, architecture, milestones, and implementation plans.
Create technical enablement resources such as sample code, reference architectures, integration guides, and workshops.
Work closely with partner engineering leaders and decision-makers to identify challenges, recommend solutions, and drive adoption of NVIDIA robotic technology.
Represent partner needs internally, providing feedback to NVIDIA’s product and engineering teams to influence future roadmaps.
Support product launches and go-to-market activities with technical validation, demos, and customer-facing materials.
What we need to see:
10+ years in the technology industry, with at least 5 years in hands-on software development or engineering.
Bachelor’s or Master’s in Computer Science, Engineering, or a related technical field—or equivalent experience.
Whole software development lifecycle experience—from requirements and design to testing, integration, and support.
Technical background in at least one of: robot foundation models, simulation, synthetic data, robot perception, reinforcement learning, or imitation learning.
Expertise with robotics simulation tools (e.g., Gazebo, MuJoCo, Isaac Sim, Robot Studio).
Experience leading technical workshops, code reviews, and architectural design sessions.
Strong communication skills for technical and executive audiences.
Ability to structure and deliver complex technical engagements.
Ways to stand out from the crowd:
Experience with NVIDIA tools and libraries (CUDA-X, Isaac Sim, OpenUSD, Cosmos).
Recent hands-on experience with robot simulation tools.
Knowledge of AIOps, cloud-native technologies, Kubernetes, Docker, and monitoring tools.
Proven success growing developer ecosystems through technical enablement.
You will also be eligible for equity and .
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What you'll be doing:
Research, design and implement novel methods for efficient deep learning.
Publish original research.
Collaborate with other team members and teams.
Mentor interns.
Speak at conferences and events.
Work with product groups to transfer technology.
Collaborate with external researchers.
What we need to see:
Completing or recently completed a Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or have equivalent research experience.
Excellent knowledge of theory and practice of computer vision methods, as well as deep learning.
Background in pruning, quantization, NAS, efficient backbones, and so on, is a plus.
Experience with large language models and large vision-language models is required.
Excellent programming skills in Python and PyTorch; C++ and parallel programming (e.g., CUDA) is a plus.
Hands-on experience with large-scale model training including data preparation and model parallelization (tensor and pipeline) is required.
Outstanding research track record.
Excellent communications skills.
You will also be eligible for equity and .
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alignment, principledapproaches to synthetic data generation and filtering, advanced reasoning and inference algorithms for LLMs, novel learning paradigms and LLM architectures, and scientific understanding about the fundamental limitsand capabilitiesof LLMs. You will work within an amazing and collaborative research team that consistently publishes at the top venues in machine learning andnatural language
What you'll be doing:
Explorealternative avenuesto unlock new capabilities in language models, including advanced knowledge acquisition techniques and innovative learning and decoding algorithms.
Innovate newlearning paradigmsthat incorporate agency into the training of language models, such as enabling self-reflection and targeted knowledge enhancement.
Enable learningfrom multi-modalitiesbeyond written text, such as acquiring physical commonsense knowledge through interactions with real-world environments.
Publish original research.
Collaborate with other team members and teams.
Mentor interns.
Speak at conferences and events.
Work with product groups to transfer technology.
Collaborate with external researchers.
What we need to see:
PhD in Computer Science or Computer Engineering (or equivalent experience).
At least 6 years of research experience (demonstrated by publication records spanning across 5+ years) in artificial intelligence, machine learning, natural language processing, computer vision or related subjects
A history ofresearch successexemplified by a strong publication record and awards.
Excellent knowledge of theory and practice of deep learning and natural language processing.
Background in LLM training, alignment, and evaluation is expected.
Excellent programming skills in Python and PyTorch.
Hands-on experience with large-scale model training including data preparation and model parallelization (tensor and pipeline) is required.
Excellent communications skills.
You will also be eligible for equity and .
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About the role:
Assist R&D engineers, scientists, and/or teams in developing and analyzing products, materials, processes, or equipment. This level of position requires an extensive knowledge base, high independence, a demonstrated ability to follow detailed instructions, and a deep aptitude for learning.
As an R&D Technician IV at Boston Scientific, you’ll be hands-on in shaping the next generation of catheter-based medical devices. In this senior role, you’ll work closely with engineers and cross-functional teams to build prototypes, run tests, and solve technical challenges that directly impact patient care. You’ll have the independence to drive your own work while contributing to a culture of innovation and collaboration.
Your responsibilities will include:
Execute assigned tasks for project deliverables.
Develop solutions and contribute to initial design, testing, and process concepts.
Construct prototype products and/or detailed test methods and fixtures from concepts.
Organize, coordinate, execute, and document testing of prototypes/materials with minimal engineering guidance.
Develop new test methods and/or make revisions to existing test methods.
Coordinate procuring and qualification of new or modified test equipment.
Work with internal resources and external vendors to identify and obtain supplies and services.
Contribute to problem-solving and root cause investigations (DOE, FMEA, CAPA)
Train/Coach peers on their job's technical aspects, including interpreting and rationalizing results (i.e., statistics, DOE).
Required qualifications:
Preferred qualifications:
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.
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Your responsibilities will include:
Required qualifications:
The anticipated annualized base amount or range for this full time position will be$ to $, 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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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:
Develop innovative parallel computing technologies that equip programmers with the compilers, languages, runtime systems, tools, and algorithms needed to solve challenges with modern accelerated systems.
Collaborate with other researchers and engineers to extend the state of the art in parallel computing, machine learning, data analytics, and other technology areas surrounding NVIDIA's business. Deliver your innovations in high-quality software systems, publications, and patents.
Engage with the research community through collaborations, publications, and presentations that produce new technologies and promote education in accelerated computing.
What we need to see:
Completing or recently completed a Doctoral degree (Ph.D.) or equivalent experience in a computational field such as computer science, computer engineering, or scientific computing.
Creativity in developing innovative solutions to the problems faced by parallel programmers and the skill to implement them in software.
Expertise in parallel programming and algorithmic techniques.
Strong programming ability in one or more of the following languages: C, C++, Rust and Python.
Track record of research excellence and publications that demonstrate your body of work.
Relevant research and software development experience.
Ways to stand out from the crowd:
Expertise in applying programming system insights and techniques to problems in machine learning, data science, and distributed computing.
Ability to implement ideas in the CUDA programming model.
Experience with applying AI, such as large language models, to create new ways of solving the problems of software engineering.
Prior success in building software systems used by other developers to solve their own problems.
You will also be eligible for equity and .
These jobs might be a good fit

Share
What you’ll be doing:
Act as a technical advisor, collaborating with partner engineering teams on architecture, integration, and code for Isaac Sim, Isaac Lab, and AI-enabled robotics solutions.
Build and maintain deep expertise in NVIDIA robotics SDKs, with a focus on simulation and robot learning.
Track emerging trends in the robotics ecosystem to identify new opportunities.
Co-design and deliver advanced robotic solutions with partners—defining objectives, architecture, milestones, and implementation plans.
Create technical enablement resources such as sample code, reference architectures, integration guides, and workshops.
Work closely with partner engineering leaders and decision-makers to identify challenges, recommend solutions, and drive adoption of NVIDIA robotic technology.
Represent partner needs internally, providing feedback to NVIDIA’s product and engineering teams to influence future roadmaps.
Support product launches and go-to-market activities with technical validation, demos, and customer-facing materials.
What we need to see:
10+ years in the technology industry, with at least 5 years in hands-on software development or engineering.
Bachelor’s or Master’s in Computer Science, Engineering, or a related technical field—or equivalent experience.
Whole software development lifecycle experience—from requirements and design to testing, integration, and support.
Technical background in at least one of: robot foundation models, simulation, synthetic data, robot perception, reinforcement learning, or imitation learning.
Expertise with robotics simulation tools (e.g., Gazebo, MuJoCo, Isaac Sim, Robot Studio).
Experience leading technical workshops, code reviews, and architectural design sessions.
Strong communication skills for technical and executive audiences.
Ability to structure and deliver complex technical engagements.
Ways to stand out from the crowd:
Experience with NVIDIA tools and libraries (CUDA-X, Isaac Sim, OpenUSD, Cosmos).
Recent hands-on experience with robot simulation tools.
Knowledge of AIOps, cloud-native technologies, Kubernetes, Docker, and monitoring tools.
Proven success growing developer ecosystems through technical enablement.
You will also be eligible for equity and .
These jobs might be a good fit