Nvidia Jobs Remote Jobs in Usa

NVIDIA is seeking a highly motivated Global Sourcing Manager to join our Ecosystem Enablement Team. In this role, you will develop and implement sourcing strategy and engagement plans with key supply partners to align with NVIDIA's pioneering technology and product roadmap. You will play a critical role in enabling new product development and scaling global capacity to support NVIDIA's growing ecosystem needs worldwide.

What you'll be doing:

• Lead the development and execution of comprehensive sourcing and supply chain strategies in collaboration with Global Commodity Managers and cross-functional partners.
• Identify, evaluate, and engage key ecosystem partners across commodity categories such as thermal, mechanical, power supply, cabling, and data center infrastructure equipment.
• Drive supplier qualification efforts in partnership with engineering and program teams to ensure a resilient and strategically aligned Recommended Vendor List (RVL) across critical ecosystem commodities.
• Act as a strategic partner to engineering, business units, and supplier organizations, ensuring capacity, material readiness, and solution alignment to ungate and accelerate GPU deployments.
• Establish and manage strategic supplier relationships to ensure alignment on performance, capacity, and investment that supports NVIDIA's global growth and technology roadmap.
• Drive supplier readiness and investment to ensure sufficient global capacity and a resilient supply chain that meets NVIDIA's ecosystem expansion and GPU ramp-up requirements.
• Lead supply chain risk mitigation and enablement initiatives, including qualification, business continuity planning, and continuous improvement programs to strengthen overall supply resilience.
• Apply expertise in should-cost modeling and market trend analysis to ensure RVL suppliers offer competitive and balanced pricing.

What we need to see:

• 12+ years of experience in supply chain, sourcing, or related roles in the high-tech industry.
• Proven experience managing diverse commodities; experience in mechanical, liquid cooling, or power is a strong plus.
• Demonstrated ability to drive supplier qualification and cost modeling with cross-functional partners.
• Solid program management skills, with a track record of delivering results in complex, global environments.
• Bachelor's degree (or equivalent experience); Master's degree preferred.
• Outstanding communication and influence skills with internal and external collaborators.
• High integrity, strong initiative, and excellent attention to detail.
• Strong sense of ownership, integrity, and initiative in a collaborative and fast-paced environment.
• Deep analytical skills with a focus on accuracy, thoroughness, and data-driven decision-making.
• Strong organizational, planning, and prioritization skills to manage multiple programs and deadlines.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technological world's most desirable employers; we have some of the most forward-thinking and hardworking people in the world working for us and, due to unparalleled growth, best-in-class teams are rapidly growing. If you're creative and autonomous with a real passion for your work, we want to hear from you!

The base salary range is 168,000 USD - 270,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

The Network Resident will be responsible for managing, configuring, and maintaining the NVIDIA-based data center network fabric. This role ensures optimal network performance, resolves switch access issues, maintains physical connectivity across racks, and integrates network telemetry into the organization’s observability platform.

Key Responsibilities

• Configure and manage a three-tier NVIDIA switch fabric including:
• 5400 Series – 400G/800G core fabric
• 3400 Series – 10G management tier
• 2200 Series – 1G distribution tier
• Provide configuration and operational support for Intervision-provided 2200 series switches.
• Troubleshoot and resolve authentication/access issues on network switches and integrate them into the network fabric.
• Ensure proper physical connectivity and cabling to designated rack zones and cabinet infrastructure.
• Integrate switch telemetry and monitoring with OpenTelemetry (OTEL) and the existing observability platform.
• Support the migration of the observability system from the Development Cluster to the Infrastructure Cluster.
• Monitor network performance, availability, and fabric visibility.

Required Skills

• Strong experience with data center networking and switch configuration
• Experience with NVIDIA networking switches / Spectrum / Cumulus or similar
• Knowledge of high-speed Ethernet networks (10G–800G)
• Troubleshooting of switch access, authentication, and connectivity issues
• Experience with network monitoring, telemetry, and OpenTelemetry
• Familiarity with data center rack architecture and cabling

Preferred Qualifications

• Experience in AI/HPC infrastructure networking
• Knowledge of observability platforms and telemetry pipelines
• Hands-on experience with large-scale fabric deployments

About Quantiphi:

Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations.

Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology’s sake.

Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact.

We’ve been recognized with:

• 17x Google Cloud Partner of the Year awards in the last 8 years.
• 3x AWS AI/ML award wins.
• 3x NVIDIA Partner of the Year titles.
• 2x Snowflake Partner of the Year awards.
• We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group.
• We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.
• We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.

Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation.

Your next big opportunity starts here!

For more details, visit: Website or LinkedIn Page.

Role - Account Manager

Work Location: Nashville, TN

Job Overview:

As a Strategic Account Manager at Quantiphi, you will drive growth and expand our footprint within two of our most strategic healthcare enterprise accounts, spanning both a large national health plan (payer) and a leading multi-state health system (provider).

This role requires deep expertise across the healthcare ecosystem, including payer and provider operations, and the ability to position AI, data, cloud, and digital transformation solutions that deliver measurable clinical, operational, and financial outcomes.

You will operate in a highly entrepreneurial environment, partnering closely with executive stakeholders to accelerate innovation, grow revenue, and build long-term strategic relationships within complex, regulated healthcare organizations.

Key Responsibilities:

• Own and manage the full sales cycle across assigned healthcare enterprise accounts, from opportunity identification through contract negotiation and delivery oversight.
• Build and strengthen executive-level relationships (C-Suite, VP, Director) across IT, digital, analytics, operations, clinical, and procurement functions.
• Develop and execute multi-year strategic account plans aligned to payer and provider priorities such as cost optimization, member/patient experience, care delivery transformation, and AI adoption.
• Identify and pursue new opportunities by positioning Quantiphi’s AI, data engineering, analytics, and cloud capabilities to address healthcare-specific challenges.
• Expand existing accounts through cross-sell and up-sell motions across services, solutions, and managed offerings.
• Serve as a trusted advisor to leadership teams on modernization strategies, emerging healthcare technologies, and innovation roadmaps.
• Lead collaborative workshops to define business problems, quantify value, and design scalable solution approaches.
• Maintain deep understanding of each organization’s operating model, technology landscape (EHRs, claims systems, contact centers, analytics platforms), regulatory requirements, and transformation priorities.
• Partner closely with delivery and solution teams to ensure successful execution, customer satisfaction, and long-term growth.
• Contribute to healthcare go-to-market strategy, including industry messaging, accelerators, and account-based growth initiatives.

Basic Qualifications:

• Bachelor’s degree in Business, Engineering, Computer Science, or related field (or equivalent experience).
• 7+ years of experience in enterprise sales or account management within Healthcare & Life Sciences.
• Direct experience managing or selling into large healthcare payers, health plans, or provider/health system organizations.
• Proven success selling AI, data analytics, cloud, or digital transformation solutions (GCP, AWS, Azure).
• Strong background in enterprise account growth, strategic planning, and complex deal cycles.
• Experience negotiating MSAs, SoWs, and large multi-year engagements.
• Ability to engage and influence senior healthcare executives and clinical/operational stakeholders.
• Willingness to travel to customer sites up to 50%.

Other Qualifications:

• Familiarity with healthcare use cases such as:
• Claims and payment modernization.
• Care management and population health analytics.
• Revenue cycle optimization.
• Contact center and member/patient experience transformation.
• Clinical and operational AI.
• Understanding of healthcare data ecosystems (FHIR/HL7, EHRs, claims platforms, interoperability standards).
• Knowledge of healthcare regulatory and compliance environments (HIPAA, PHI governance, security standards).
• Working knowledge of AI/ML and cloud-native architectures.

What is in it for you:

• Be part of the fastest-growing AI-first digital transformation and engineering company in the world.
• Be a leader of an energetic team of highly dynamic and talented individuals.
• Exposure to working with fortune 500 companies and innovative market disruptors.
• Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud.

Date Posted:

Country:

Location:

Position Role Type:

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Security Clearance Type:

Security Clearance Status:

RTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses – Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Its 185,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, VA.

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world.

We have an exciting opportunity for a Senior Software Engineer – Embedded to join our Electro-Optical & Infrared (EO/IR) Solutions Engineering Team in McKinney, TX, which is part of our Advanced Products & Solutions group.

The Advanced Product and Solutions organization at RTX provides the joint warfighter with actionable information from an unblinking eye across the battlespace. By joining the APS Engineering team you’ll have the opportunity to design, develop and test product capabilities for Active Electronically Scanned Array (AESA) radars, integrated sensor suites, precision targeting, multispectral EO/IR targeting systems, Pilot Situational Awareness, Special mission aircraft and Strategic and tactical ISR Systems.

But more than anything, we are innovators, creators and strategists drawing inspiration from each other every day. We collaborate, iterate, and execute with an eye toward the company mission and personal career growth.

Explore our opportunities today and join us!

What You Will Do

• Supports all aspects of a software development life cycle as members of a multi-disciplined team. This would include supporting new and legacy military and commercial programs from concept and requirements, to design, development, integration, test, and potentially subsequent maintenance tasking.

• Uses and provides creative solutions to complex technical system and software integration problems.

• Works closely with Systems Engineers to design ideal solutions with the end user and operational needs in mind.

• The ability to obtain and maintain a Secret U.S. government issued security clearance and a Special Access Program security clearance. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

• Work onsite at McKinney, TX [relocation eligible]

• This position will require occasional business-related travel.

Qualifications You Must Have

• Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 5 years of prior relevant experience unless prohibited by local laws/regulations.

• Development experience on Linux, VxWorks, or other Real Time Operating Systems.

• Experience using object-oriented programming and C++ design paradigms.

• Experience in developing, testing, and integrating real-time software applications written in C++.

• Additional experience in coding using C, C#, Java or closely related software languages.

• Working knowledge in computer scripting language such as Shell/Perl/Python.

• Experience working with multi-discipline team(s).

• Active and transferable U.S. government issued Secret security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

Qualifications We Prefer

• Experience working in lab environments with physical hardware (e.g., test benches, simulators).

• Ability to quickly understand and navigate complex systems and established code bases.

• Experience with product development utilizing the Scrum techniques of the Agile software development process.

• Experience with DevSecOps pipeline implementation and utilization, including Static Code Analysis, Automated Build, and Automated Test techniques using continuous integration/continuous delivery with Test-Driven Development approach.

• Hands-on experience with Git for version control and GitLab for repository management.

• Ability to manage multiple priorities.

• Experienced in developing in CUDA to accelerate compute-intensive workloads on Nvidia GPUs.

What We Offer

Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, Innovation, and Safety.

Learn More & Apply Now!

Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.

Clearance Information: This position requires security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here:  

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

RTX 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, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

Privacy Policy and Terms:

Click on this link to read the Policy and Terms

Open date: February 26, 2026

Next review date: Thursday, Mar 12, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Saturday, Mar 28, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for a Professional Researcher at the Assistant, Associate, or Full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The researcher will conduct independent research at a level comparable to the Professor series.

The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.

This position will focus on advanced, independent research leading the ABC computational team to develop vision-transformer-based foundation machine learning models. The Researcher will work closely with an interdisciplinary team of optical physicists, engineers, and computational imaging researchers to achieve the ambitious goal of creating a generative AI model for segmenting and querying complex 4D high-resolution data of zebrafish development. This is an exciting opportunity to contribute to advancing biological imaging and AI-driven data analysis at the intersection of biology and computational science.

As this project grows, the individual will be expected to expand their leadership and adapt to the evolving scope of the research. The role will begin with leading efforts to supervise data collection and management, model development, and collaborating with leadership across the center. The researcher will build and manage a team of data scientists, and computational biologists to test AI-driven imaging models and will facilitate scientific collaborations with local, domestic, and international researchers. This position will take on a growing role and contribute to a groundbreaking initiative in biological imaging.

Key Responsibilities:

*Conduct and design independent research and lead a team of data scientists and software engineers to enable the development of state-of-the-art AI models for light sheet microscopy data.

*Collaborate with experts in optical physics, engineering, and computational imaging to support a foundational AI model for high-resolution developmental biology data.

*Conduct and lead experimental design, data acquisition, and data analysis pipelines to ensure optimal data quality.

*Facilitate and maintain scientific collaborations with local, domestic, and international researchers as the project expands.

*Publish research findings in high-impact journals and presenting at scientific conferences.

*Supervise and mentor graduate students, postdoctoral fellows, staff scientists, and academic research titles involved in machine learning and biological data analysis.

*Lead the development of new AI models and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos.

*Oversee the design and development of new machine learning tools for petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry).

*Advise on applications of these tools for biological imaging; collaborate with graduate students, postdoctoral fellows and academic research titles on specific projects to test, learn and implement for general and specific use cases.

*Bring cross disciplinary expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods.

*Identify and study scaling laws for machine learning models on large-scale 5D light sheet datasets.

*Organize and plan on the design and development of new AI techniques to further ABC's mission.

Lab:

PhD (or equivalent international degree)

Two (2) years of post PhD research experience.

For consideration for Associate Researcher rank, a minimum of 8 years of post PhD research experience as a group leader or principal investigator (PI) supervising a team of PhD-level scientists in industry or academia.

For consideration for full Researcher rank, a minimum of 14 years post PhD research experience, including a minimum of 8 years of experience leading a team as a principal investigator (PI) at the university level or in industry with demonstrated success managing graduate students, postdoctoral researchers, technicians, or equivalent positions.

*PhD or equivalent international degree in Data Science, Computer Science, Bioinformatics or Related field.

*Hands-on experience with developing machine learning models for large-scale light sheet microscopy.

*Strong publication record indicating research independence and leadership.

*Excellent communication, organizational, and leadership skills.

*Proven track record of interdisciplinary collaboration, especially in integrating machine learning with biological research, physics, engineering, or computational fields.

*Demonstrated experience working with large-scale biological datasets, including experience with computational image analysis.

*Demonstrate understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras.

*Demonstrated ability to work in a research team, manage active collaborations with other academic groups.

*Demonstrated experience handling and processing large scale imaging datasets (>100TB to petabyte scale and beyond).

*Expertise in programming in C/C++, MATLAB, Bash.

*Expertise in databases, data infrastructure, data governance.

*Expertise in high performance computing using SLURM or LSF.

*Experience with PyTorch, JAX, or Tensorflow.

*Experience with NVIDIA CUDA and related OpenMP programming.

*Experience with cloud services (AWS, GCP, Azure, etc.).

*Experience with state of the art AI/ML architectures (vison transformers, diffusion models, etc.).

*Experience supervising and mentoring undergraduate/graduate students, and/or technicians.

*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers.

*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks.

*Expertise in leading teams in executing machine learning projects, as evidenced by last author peer-reviewed publications within their scientific discipline.

*Readiness to scale efforts and grow with the expanding scope of the project, including building and managing a team and facilitating collaborations.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Research Statement - Please discuss research accomplishments and proposed plans. This can include, for example, your publication record, awards, presentations, inclusive research practices that promote the excellence of your research, and areas for future research.

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley 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, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Open date: February 25, 2026

Next review date: Wednesday, Mar 11, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Friday, Mar 27, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for two Project Scientists at the Assistant, Associate, or full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The project scientist will make significant and creative contributions in the area of machine learning & data analytics.

The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.

The Assistant/Associate/Full Project Scientists will be an integral part of a visionary scientific team driving cutting-edge biological discoveries through immediate applications of critical advances in imaging technologies. These positions will work with a dedicated team to develop data analytics software in terabyte- to petabyte-scale imaging projects. The incumbents will develop and refine machine learning applications and manage projects and provide regular progress reports to PIs and collaborators.

Successful candidates will be an integral part of the expert team working together with computational scientists and biologists in experimental design to tackle complex biological questions in a quantitative manner. The work will primarily be conducted at the facility in Barker Hall. Occasional travel may be required.

Key Responsibilities

*Make significant and creative contributions to development of new imaging and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos.

*Design, build, and maintain new software packages for efficient data processing.

*Advise on applications of these tools for biological imaging; collaborate with Postdocs and graduate students on specific projects to test, learn and implement for general and specific use cases.

*General organization and management of software documentation.

*Bring cross disciplinary expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods.

*Work with petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry). Identify and implement scalable solutions to scientific questions on large-scale data sets, especially using performant algorithms.

*Develop machine learning approaches, computer vision tools to help pre-process dataset and annotations to generate groundtruth benchmarks.

*Contribute to dissemination via open source code repositories, demonstrations, publications, presentation.

These positions will be eligible for full benefits.

Lab:

Contract: ar-contract-2022/

*PhD (or equivalent international degree)

*Minimum of four years of postdoctoral research experience

*For consideration for the Associate Project Scientist rank: a minimum of 8 years of post PhD research experience

*For consideration for the full Project Scientist rank: a minimum of 14 years of post PhD research experience

*PhD or equivalent international degree in Computation Data, Computer Sciences, Bioinformatics or Related field

*Demonstrated record of productivity and publications and/or scholarly contributions

*Strong biological background and understanding of molecular biology

*Demonstrate understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras

*Demonstrated ability to work in a research team, manage active collaborations with other academic groups

*Demonstrated experience handling and processing large scale imaging datasets (>100TB to petabyte scale and beyond)

*Expertise in programming in C++, Labview, MATLAB, Python

*Expertise in databases, data infrastructure, data governance

*Expertise in high performance computing using SLURM or LSF

*Experience with PyTorch, JAX, or Tensorflow

*Experience with NVIDIA CUDA and related OpenMP programming

*Experience with cloud services (AWS, GCP, Azure, etc)

*Experience with state of the art AI/ML architectures (vison transformers, diffusion models, etc

*Experience mentoring undergraduate/graduate students, and/or technicians.

*Experience with professional speaking engagements

*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers

*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Statement of Research - Provide a summary of your major research accomplishments in approximately 250 words. Additionally, please include a brief statement highlighting your experience that is directly relevant to the key responsibilities of this position

  
  

• Project Portfolio - Summary portfolio of data and/or AI projects executed, as demonstrated by publications or github contributions

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley 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, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Field Applications Engineer – Aerospace & Space Systems

Location: Los Angeles, California, United States

A leading developer of rugged embedded computing systems used in aerospace, defense, and space applications is looking for a Field Applications Engineer to support customers across the United States. This role acts as the technical bridge between customers, engineering teams, and business development, helping aerospace and defense organizations integrate mission-critical computing solutions into their systems.

Responsibilities

• Serve as the primary technical point of contact for US customers.
• Provide pre-sales and post-sales technical support across aerospace, defense, and space programs.
• Work with customers to define system requirements and identify appropriate solutions.
• Deliver technical presentations, product demonstrations, and customer workshops.
• Collaborate with engineering, operations, and program teams to resolve technical challenges.
• Support business development by helping translate customer requirements into technical solutions.
• Contribute to technical documentation, including application notes and integration guidance.

Requirements

• 5+ years of experience in embedded hardware or software development/support.
• 3+ years in a customer-facing engineering role (Field Applications, technical sales, or field engineering).
• Bachelor’s degree in Electrical Engineering, Computer Science, or related field.
• Strong understanding of embedded computing systems.
• Ability to communicate technical concepts clearly to customers and internal teams.

Due to regulatory requirements, candidates must qualify as a U.S. Person under ITAR regulations.

Preferred Experience

• Aerospace, defense, or space industry experience.
• SpaceVPX or cPCI architectures.
• ARM or PowerPC processor architectures.
• Embedded operating systems such as VxWorks or Linux.
• NVIDIA embedded GPU platforms.

Why Join?

• Work on mission-critical computing systems used across land, air, sea, and space.
• Collaborate with major aerospace primes and innovative space companies.
• Join a company at the forefront of embedded computing technology.

Due to the number of applicants, if you have not received feedback after 2 weeks of applying, then unfortunately, you have been unsuccessful.

Talent Acquisition Manager – AI Infrastructure & Engineering

San Francisco, California

Hybrid Working

We are expanding our global team and launching a new office in San Francisco.

WNTD is looking for an experienced Talent Acquisition Manager to join our Talent Solutions team and support the continued growth of AI infrastructure and accelerated compute platforms across North America.

This role will support one of the most significant AI infrastructure expansion programmes currently underway, focused on building next generation platforms powered by NVIDIA accelerated compute.

You will work closely with senior technical leaders to attract and hire talent across the full infrastructure stack including software engineering, AI platforms, GPU environments and large scale compute infrastructure.

This is a delivery focused role supporting high growth engineering programmes across AI infrastructure and cloud platforms.

The Role

You will lead hiring across multiple engineering disciplines spanning software engineering, AI infrastructure platforms and high performance compute environments.

Working closely with technical leadership and programme stakeholders, you will build pipelines of high quality candidates and manage fast moving hiring plans across several technical workstreams.

Key Responsibilities

• Build and manage talent pipelines across software engineering, AI infrastructure and GPU compute environments

• Proactively source talent across the United States through mapping, referrals and direct outreach

• Screen candidates for technical capability, experience and long term fit

• Partner with engineering leaders to define hiring priorities and role requirements

• Maintain clear tracking of hiring pipelines and delivery progress

• Support wider Talent Solutions activity during peak delivery phases

• Ensure a professional and consistent candidate experience

• Champion fair and inclusive hiring practices

Key Experience

• Proven experience hiring across complex engineering environments

• Strong track record building pipelines across software and infrastructure roles

• Comfortable engaging with technical stakeholders and discussing engineering topics

• Excellent communication and stakeholder management skills

• Strong organisation with the ability to manage multiple roles simultaneously

What We Offer

• Competitive salary and benefits

• Opportunity to support one of the fastest growing AI infrastructure build programmes globally

• Growth within a high performing delivery focused team

• Hybrid working model

• A collaborative culture that values ownership, pace and problem solving

Additional Requirements

• Ability to commute to the San Francisco office

• No visa sponsorship available

• Hybrid working model

We are seeking a Senior Robotic Simulation Engineer with deep, hands-on expertise in building high-fidelity simulation environments and synthetic data pipelines using NVIDIA Isaac Sim or similar.

In this role, you will directly contribute to the development of scalable, realistic virtual worlds that power the training and validation of robotic foundation models for perception, planning, and manipulation.

At GM’s manufacturing technology development team, you’ll work closely with robotics and AI teams within the Manufacturing Technology Development (MTD) team to create simulation scenes that replicate complex manufacturing environments, generate diverse synthetic datasets, and build robust data workflows that accelerate model development and deployment.

Key Responsibilities • Build and customize simulation scenes in Isaac Sim that accurately reflect real-world robotic tasks and factory layouts • Develop synthetic data generation pipelines, including randomized object placement, sensor simulation, and multi-modal annotations (RGB, depth, segmentation, point clouds) • Implement and maintain data processing workflows, ensuring data quality, traceability, and compatibility with ML training pipelines • Optimize simulation performance and realism, tuning physics parameters, asset fidelity, and rendering configurations for scalable experimentation • Collaborate with robotics engineers and ML scientists to align simulation outputs with model requirements and support sim2real transfer • Conduct hands-on testing and debugging, iterating on simulation setups and synthetic data strategies to improve model robustness • Document workflows and contribute to best practices, enabling reproducibility and knowledge sharing across teams Required Qualifications • MSc or PhD in Robotics, Computer Graphics, Computer Vision, or related field • 3+ years of hands-on experience in robotics simulation, synthetic data generation, or virtual environment development • Proficiency with Isaac Sim, Omniverse, or similar simulation platforms • Strong programming skills in Python and C++, with experience in simulation APIs and data annotation tools • Familiarity with 3D vision, sensor modeling, and domain randomization techniques • Experience integrating simulation outputs into ML pipelines for training and evaluation Preferred Qualifications • Experience with robotics frameworks (e.g., ROS/ROS2, MoveIt, Nav2) • Experience with robotics simulation platforms (e.g., IsaacSim, MoJoCo, Gazebo) or Game engine (e.g., Unreal, Unity) • Background in industrial automation, autonomous vehicles, or robotic manipulation • Publications or contributions in simulation, synthetic data, or robotics venues (e.g.

ICRA, RSS, CVPR) • Familiarity with CI/CD pipelines and modern software development practices such as Bash, Github, Bazel, Docker