United States, Pennsylvania, Programming jobs
Nvidia Research Scientist Programming Systems - New College Grad United States, California
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- US, CA, Santa Clara
- time type
- Full time
- posted on
- Posted Yesterday
- job requisition id
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
Teva Intern - Python Programming & AI United States, Pennsylvania, East Bradford Township
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Embark on a future with an international pharmaceuticals company, contributing your creative energy to high-impact projects from the moment you arrive through the course of this 12 week experience. You will take part in meaningful work and real-life projects that will help you grow both professionally and personally throughout the program.
- Location: (West Chester, PA)
- Length: minimum of 12 weeks (TBD during mid-May through mid-August)
- Schedule: You must be available to work a 40-hour work week (onsite) for 12 weeks
- Pay: TBD
Tasks & responsibilities
- During the 12 week program, you will gain in-depth insight into the Global Statistical and Programming department.
- Supported by a mentor and experienced colleagues, you will be directly involved in our daily business and be assigned tasks within diverse projects.
- You will also play an important role in the development of concepts and initiatives within the (SDTM clinical programming) business unit.
- Currently enrolled in a Bachelor's or Master's degree in Computer Science or related field program.
- Strong programming skills in Python
- Fundamental understanding and experience in machine learning (supervised/unsupervised learning, model training, evaluation)
- Familiarity with ML libraries such as scikit-learn, TensorFlow, PyTorch, or similar
- Strong problem-solving and analytical skills
- Excellent communication skills and ability to work independently
The internal career site is available from your home network as well. If you have trouble accessing your EC account, please contact your local HR/IT partner.
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Teva Intern - Clinical Programming United States, Pennsylvania, East Bradford Township
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- Advise and guide end users regarding the use of a broad range of products, tools and services within the IT domain
- Follow a standard call flow and service request / incident handling processes: Verify entitlement, perform troubleshooting and problem determination. Resolve and close the ticket or route the ticket to the appropriate resolver team.
- Use technical resources and tools, answer end users’ queries.
- Utilize their product, technology, services skills to identify issues which may be related to products’ installation, updates, configuration, operation or performance.
• English – reading, writing, speaking
• Bachelor’s in computer science, Engineering, or related discipline with an IT certificate / diploma is preferred
• 1 to 3 years' experience as a technical service desk agent
• Worked as part of 7/24/365 global operations teams
• Excellent logical reasoning, troubleshooting and problem determination skills
• Knowledge and experience with Remote takeover tools• Understanding of ITIL (IT Infrastructure Library)
• Experience with ServiceNow or similar Incident Management Tool
• Knowledge on handling Service Requests and Incidents
• Knowledge on Email tools like MS-Outlook and MS-Exchange
• Knowledge on Networking (VPN/Connectivity Issues), Internet Security,
• Knowledge on Windows, Mac O/s (Basics), Android, iOS
• Knowledge on instant messaging tools like MS-Teams
• Working knowledge on O365
• Experience with working in a pharma / Biotech / GxP environment is preferred
Reports To
First Line Manager
The internal career site is available from your home network as well. If you have trouble accessing your EC account, please contact your local HR/IT partner.
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Amazon Applied Science Internship - United States United States, California, San Francisco
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NOTE: This position shall primarily support second shift operations (~1430hrs - 2230hrs). In future, there may be rotation with first shift operations.Key job responsibilities
- Actively support and foster a culture of inclusion.
- Own Process optimization and cost reduction initiatives for sustaining processes.
- Perform critical process reviews including Risk and Hazard assessments.
- Development and Validation of processes specific to NPI programs.
Benefits summary:1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
- Bachelor’s degree in Mechanical Engineering, Industrial Engineering or related discipline.
- 5+ years’ experience in manufacturing environment and knowledge of GMP.
- Experience with Project Management tools.
- Experience in New Product Introduction environment including Phase-Gate process experience.
- Experienced CAD user, demonstrated capabilities in AutoCAD and SolidWorks.
- Experience using industry Problem Solving Tools such as 8D, Fishbone/Cause-Effect, or CAPA methodology.
- Experience using Quality & Statistical tools such as PFMEA, control charting, pareto, and histograms.
- Experience and proven skill in written and verbal business communications, organizational communications, reporting metrics.
Preferred Qualifications
- MBA or advanced Engineering degree preferred.
- Proven ability to manage and deliver projects with accelerated schedules.
- Proven analytical approach to problem-solving.
- Experience in manufacturing / process improvement (eg. Lean-Six Sigma).
- Experience with Manufacturing Execution Systems (MES), ERP systems, and Tool / Equipment programming.
- Self-motivated and able to solve problems independently and in team settings.
- Experience with Process Optimization Tools including Programming, Mapping, Simulation or various algorithms.
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Teva Sr Manager Statistical Programming United States, Pennsylvania, East Bradford Township
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The Senior Manager, Statistical Programming, provides comprehensive programming leadership for programming deliverables within a product/program. This role is responsible for managing the timely and accurate execution of programming components of clinical trials and supports the development, regulatory approval and market acceptance of Teva Products.
The Senior Manager leads and manages projects that involve global tasks, cross functional teams, or outsourcing resources. The role requires providing inputs to design and analysis, and reporting the results of clinical trials, including programming rules and mocked T/L/G. In addition, the Senior Manager of statistical programming supports improvement initiatives, support change management through communication, training, and stakeholder engagement, and proactively address risks with remediation strategies.
-Primarily works at the product / program level
-Possible to have direct reports; Likely to oversee contingent workers and/or vendors; likely to provide training to others; Analyzes needs to manage resources. Mentor Jr Level programmers on the use of department standardization tools/processes.
-Manages and Delivers assignments with quality and within timelines and provides input for budget planning
-Independently develops, validates, and maintains complex programs and utilities in accordance with predefined specifications and standards.
-Provides strong programming support to CDISC based e-submission. Develop, review, and/or perform validation of generic macros. Develop, debug, and enhance SAS (or any other Statistical software) programs to support quality control of safety or efficacy derived datasets.
-Reviews key planning documents (e.g, Protocol, statistical analysis plan) to ensure alignment with project objectives, contributes to development of data presentation plan (DPP) , programming specifications (eg. SDTM, ADaM specs) , regulatory reviewers guide documents, ensures clarity and completeness of programming requirements, and robustness of assumptions.
-Implement programming standards and comply with regulatory requirements among project team members and across all projects; communicate to management on project status and resource issues.
-Responsible for the standardization of GSD deliverables across study projects within an indication/therapeutic area.
-Contributes to the overall definition of programming rules and standardization across therapeutic areas and/or indication, including supporting visualization capabilities.
-Identifies, supports process and technology improvement initiatives, communicates proactively and effectively around issues and risks and contributes to remediation strategies.
-Leads global projects with cross-functional involvement; demonstrates project management and leadership capabilities.
-Contributes to departmental policies, standards, and best practices.
Your experience and qualifications
Education Required: Bachelor’s Degree OR Master’s Degree in Science, Statistics, Information Technology or equivalent combination of education and related work experience.
Experience Required: Bachelors + 7 year, Masters + 6 years in a pharmaceutical or clinical research setting as a programmer.
Experience Preferred:
Specialized or Technical Knowledge Licenses, Certifications needed:
Functional Knowledge: Expert level of programming skills and problem resolution in SAS or other Statistical programming software. Provide programming and documentation support for SAS (or other Statistical software) system development
Company/Industry Related Knowledge: Advanced knowledge of government regulations pertaining to drug development in multiple therapeutic areas. Strong understanding of clinical data structures (e.g. CDISC). Represent Clinical Programming in healthcare authority inspections.
We offer a competitive benefits package, including:
- Comprehensive Health Insurance: Medical, Dental, Vision, and Prescription coverage starting on the first day of employment, providing the employee enrolls.
- Retirement Savings: 401(k) with employer match, up to 6% and an annual 3.75% Defined Contribution to the 401k plan.
- Time Off: Paid Time Off including vacation, sick/safe time, caretaker time and holidays.
- Life and Disability Protection: Company paid Life and Disability insurance.
- Additional benefits include, but are not limited to, Employee Assistance Program, Employee Stock Purchase Plan, Tuition Assistance, Flexible Spending Accounts, Health Savings Account, Life Style Spending Account, Volunteer Time Off, Paid Parental Leave, if eligible , Family Building Benefits, Virtual Physical Therapy, Accident, Critical Illness and Hospital Indemnity Insurances, Identity Theft Protection, Legal Plan, Voluntary Life Insurance and Long Term Disability and more.
The internal career site is available from your home network as well. If you have trouble accessing your EC account, please contact your local HR/IT partner.
These jobs might be a good fit
Amazon Applied Science Internship - United States United States, California, San Francisco
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Key job responsibilities
- Develop novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of LLMs and generative AI for robotics
- Tackle challenging, groundbreaking research problems on production-scale data, with a focus on robotic perception, manipulation, and control
- Are enrolled in a Bachelor's degree or above
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based
- Experience programming in Java, C++, Python or related language
Preferred Qualifications
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in designing experiments and statistical analysis of resultsPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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Amazon Fall Applied Science Internship - United States United States, Washington, Seattle
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Must be eligible and available for a full-time (40h/ week) 12 week internship between July 2025 and December 2025Key job responsibilities
- Develop novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of LLMs and generative AI for robotics
- Tackle challenging, groundbreaking research problems on production-scale data, with a focus on robotic perception, manipulation, and control
- Are enrolled in a PhD
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based
- Experience programming in Java, C++, Python or related language
Preferred Qualifications
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in designing experiments and statistical analysis of resultsPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
These jobs might be a good fit
Share
- US, CA, Santa Clara
- time type
- Full time
- posted on
- Posted Yesterday
- job requisition id
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
