{"id":1252451,"url":"https://alion.io/job/astar-research-engineer-intelligent-product-verification","title":"Research Engineer, Intelligent Product Verification","company":{"id":50235,"name":"Agency for Science, Technology and Research","domain":"a-star.edu.sg","url":"https://alion.io/company/a-star-edu","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"B","score":81,"open_postings":47,"ghost_share":0,"stale_share":0.979,"repost_share":0,"time_to_fill_p50_days":21,"computed_at":"2026-10-28T05:59:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":49000,"max_usd":135000,"period":"year","method":"role_country_seniority_unknown","sample_n":120},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Blender","optional":false},{"name":"Computer Vision","optional":false},{"name":"Digital Twin","optional":false},{"name":"Machine Learning","optional":false},{"name":"NVIDIA Omniverse","optional":false},{"name":"Open3D","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Synthetic Data","optional":false},{"name":"CUDA","optional":true},{"name":"Diffusion Models","optional":true},{"name":"Git","optional":true},{"name":"Linux","optional":true},{"name":"NeRF","optional":true}],"status":"live","first_seen_at":"2026-09-25T18:36:13Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-28T01:37:24Z","board_verified":true,"closed_at":null,"days_open":32,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":32},"description":"Job Description\nJob Summary\nWe are seeking a motivated Research Engineer to join the IPV,MIV at ARTC. The successful candidate will contribute to the development of a synthetic data generation platform for industrial AI applications, supporting software development, synthetic data rendering and generation, and deployment activities. This role offers an excellent opportunity to work on cutting-edge technologies, including 3D computer graphics, digital twins, synthetic data, and generative AI.\nKey Responsibilities\nDevelop and enhance synthetic data generation tools for computer vision and industrial AI applications.\nSupport software development, testing, integration, and production deployment activities.\nBuild and optimize 3D data processing pipelines for CAD models, meshes, and point clouds in digital inspection scenarios.\nExecute rendering and data generation tasks using internal tools to produce AI-ready synthetic datasets.\nDevelop Python-based tools and automation scripts for data generation, data processing, and AI workflows.\nAssist in training, evaluating, and deploying deep learning models for industrial inspection and defect detection.\nCollaborate with scientists and engineers to prototype, validate, and improve new algorithms.\nPrepare technical documentation, software user guides, and project reports.\nRequirements\nEssential Qualifications\nBachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, or a related discipline.\nExperience with 3D graphics, CAD processing tools and related libraries such as Blender, NVIDIA Omniverse, Open3D, CGAL, libigl, or similar frameworks.\nProficiency in Python and experience with PyTorch.\nExperience with computer vision, machine learning, and deep learning techniques.\nStrong analytical and problem-solving skills.\nGood communication skills and the ability to work effectively in a team environment.\nPreferred Qualifications\nExperience with generative AI models, including GANs and diffusion models.\nKnowledge of Neural Radiance Fields (NeRF), 3D scene reconstruction, or related 3D representation techniques.\nExperience with GPU programming or CUDA is an advantage.\nFamiliarity with version control using Git, software engineering best practices, and Linux development 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