Seeking a highly motivated and skilled Research Engineer with 0–1 years of experience in AI/ML to join the dynamic R&D team, working on cutting-edge research for ophthalmic care problem definitions.
Responsibilities
Design, develop, and optimize algorithms in AI/ML for real-world applications.
Conduct research and experiments to solve open-ended engineering problems.
Collaborate with cross-functional teams to define problem statements and develop technical solutions.
Prototype, validate, and scale AI/ML models using Python and related frameworks.
Contribute to technical documentation, research papers, and presentations.
Requirements
Ph.D. in Medical Electronics
Ph.D. in Biomedical Engineering
Ph.D. in Computational data science
Ph.D. in Computer Science
Ph.D. in Artificial Intelligence / Machine Learning
Support customer-facing technical engagements, design scalable architectures, and run post‑training programs for NVIDIA’s open‑weight AI models.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 124,000 USD – 195,500 USD for Level 2; and 152,000 USD – 241,500 USD for Level 3.
Responsibilities
Support technical engagements with customers and partners
Participate in design and validation of scalable architectures
Engage hands‑on with technical topics—building, testing, and validating solutions
Help document and communicate customer and partner needs
Collaborate with engineering and product teams
Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, Data Science, or a related field
Senior Solutions Architect to drive technical engagement with customers and partners across NVIDIA’s AI Software Segment Solutions Architecture team, focused on open-weight AI models.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
Responsibilities
Serve as a trusted advisor who understands complex or large-scale customer workloads and maps them to NVIDIA’s technology stack to achieve measurable outcomes.
Co-design advanced, scalable architectures with customers and partners, defining technical direction, integration achievements, and deployment plans.
Engage hands‑on with deep technical topics—designing, validating, and supporting solutions that enable customer and partner success.
Lead technical engagements, helping customers resolve sophisticated issues, and advocate for their technical needs.
Partner multi‑functionally with engineering and product teams to ensure successful deployment and continuous improvement of NVIDIA solutions.
Requirements
Bachelor’s or Master’s degree or equivalent experience in Computer Science, Engineering, Mathematics, Physics, Data Science, or a related field.
Support customer-facing technical engagements, design and validate scalable architectures, and run end-to-end post-training programs for NVIDIA’s open-weight AI models.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 124,000 USD – 195,500 USD for Level 2; and 152,000 USD – 241,500 USD for Level 3.
Responsibilities
Support technical engagements with customers and partners
Participate in the design and validation of scalable architectures
Engage hands-on with technical topics—building, testing, and validating solutions
Help document and communicate customer and partner needs
Collaborate with engineering and product teams
Requirements
Bachelor’s or Master’s degree or equivalent experience in Computer Science, Engineering, Mathematics, Physics, Data Science, or a related field
Senior Solutions Architect to drive technical engagement with customers and partners across NVIDIA’s AI Software Segment, focused on open-weight AI models.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
Responsibilities
Serve as a trusted advisor who understands complex or large-scale customer workloads and maps them to NVIDIA’s technology stack to achieve measurable outcomes.
Co-design advanced, scalable architectures with customers and partners, defining technical direction, integration achievements, and deployment plans.
Engage hands‑on with deep technical topics—designing, validating, and supporting solutions that enable customer and partner success.
Lead technical engagements, helping customers resolve sophisticated issues, and advocate for their technical needs.
Partner multi‑functionally with engineering and product teams to ensure successful deployment and continuous improvement of NVIDIA solutions.
Requirements
Bachelor’s or Master’s degree or equivalent experience in Computer Science, Engineering, Mathematics, Physics, Data Science, or a related field.
Design, develop, test, and maintain scalable database pipelines and data platforms to support business decision-making.
Compensation
Salary Range: $95,000 - $115,000 This posted range is our best estimate; starting salary will be based on experience level. Additionally, the posted range reflects only base salary and does not include annual bonuses, benefits, or reimbursements.
Responsibilities
Designing, developing, testing, and maintaining scalable database pipelines
Implementing ETL and data conversion processes
Conducting ad-hoc data extraction and complex analysis
Providing technical support and guidance on database security, backup and recovery
Developing and enhancing data governance and analytics platforms
Requirements
Bachelor’s degree in Computer Science, Technology, or a related field
Design and build the autonomy stack for a rugged humanoid platform, integrating perception, manipulation, navigation, and safety to enable complex industrial tasks.
The Research and Data Analyst will provide quantitative and qualitative analytical support, contribute to knowledge curation and guidance tools, and facilitate the dissemination and application of research findings across SPL teams.
Responsibilities
Development of Guidance Notes and Knowledge Products: Contribute to the preparation of guidance notes, and other knowledge products, including those building on the findings and recommendations of the completed VLM report to support its operationalization. This includes identifying operational implications and translating research findings into practical guidance for country and regional teams.
Analytical Tools, Indicators, and Data Analysis: Support the refinement and application of existing analytical tools, methodologies, and indicators, relevant to SP priorities. This may include analyzing labor market and social protection data, assessing employment trends and skills gaps, updating indicators, and preparing datasets, statistical outputs, and visualizations to inform analytical and operational work. It also includes contributing to the update or existing Bank tools
Support to Country and Regional Operations: Provide analytical and technical support to country and regional teams
Technical Documentation and Knowledge Curation: Document analytical methodologies, data processing, and de-facto synthesis of emerging evidence.
Requirements
advanced university degree in social policy, labor mobility, economics, statistics or other relevant fields
Laser Ablation, Automation and Digitisation Research Scientist
Advance state‑of‑the‑art laser ablation and automated analytical geochemistry capabilities in a world‑class research environment.
Compensation
Level A: $87,266 - $118,416 p.a. plus 17% super (PhD entry level $110,319)
Level B: $124,656 - $148,023 p.a. plus 17% super
Responsibilities
Develop, optimise and document laboratory, analytical and digital workflows for laser ablation and solution‑based mass spectrometric analyses.
Advance automation, data reduction, quality assurance, imaging and digital pipelines to generate robust, reusable and well‑curated research datasets.
Troubleshoot and improve analytical instrumentation and digital infrastructure, developing new protocols and research capabilities in response to evolving research needs.
Collaborate with researchers and external partners across academia, government and industry, contributing to research projects, funding proposals, scholarly outputs and intellectual property development.
Train and mentor students and researchers, develop standard operating procedures, and communicate research capabilities and outcomes to scientific and wider communities.
Requirements
PhD in trace element and/or isotope geochemistry or related discipline
Senior Machine Learning Engineer responsible for designing, implementing, and maintaining ML tools and pipelines for automotive test data and simulation environments.
Responsibilities
Design and implement ML based tools for scenario classification, tagging, and search
Develop anomaly detection in test data
Perform sensor data quality assessment for vision, radar, LiDAR
Build behavior analytics, KPI extraction, and automated reporting
Create smart assistants to support test prioritization, risk based testing, and regression selection
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