← All roles

Senior Applied Engineer

PhysicsX· Research
Apply on company site
Hybrid (Singapore)full-timePosted 3mo ago

About the role

PhysicsX is building a Singapore-based research team to develop physical foundation models for engineering domains, working with customers and partners to deliver AI models addressing real-world physics and engineering problems.

Responsibilities

  • Work closely with research scientists, simulation engineers, customers and partners to deliver AI models that address real-world physics and engineering problems.
  • Design and build physical foundation models with a focus on efficiently scaling model training to large data on multi-GPU cloud compute.
  • Transform prototypes from research colleagues into robust, optimised implementations and challenge architecture decisions that hurt scalability.
  • Identify and argue for the best libraries, frameworks and tools to set us up for success.
  • Own research work-streams at different levels, depending on seniority.
  • Discuss results and implications of the work with colleagues and customers, especially how results address real-world problems.
  • Work at the intersection of data science and software engineering to translate research into reusable libraries, tooling and products.
  • Foster curiosity and initiative among colleagues and mentees.

Qualifications

  • MSc or PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, software engineering, or a related field, with experience in: Scientific computing; High-performance computing (CPU / GPU clusters); Parallelised / distributed training for large / foundation models.
  • Ideally, >2 years of experience in a data-driven, professional setting, with exposure to: scaling and optimising ML models, training and serving foundation models at scale; distributed computing frameworks (e.g., Spark, Dask) and HPC frameworks (MPI, OpenMP, CUDA, Triton); cloud computing (AWS, Azure, GCP); building ML models and pipelines in Python (NumPy, SciPy, Pandas, PyTorch, JAX); C/C++ for CV, geometry processing, or scientific computing; software engineering concepts (versioning, testing, CI/CD, API design, MLOps); containerization and orchestration (Docker, Kubernetes, Slurm); writing pipelines and experiment environments.

Skills

Required:Machine learning / deep learningAutonomous project delivery

Benefits

  • Build what actually matters: work with real-world impact in an AI-native engineering company at a formative stage.
  • Learn alongside exceptional people: collaborate with engineers, scientists, and operators in a diverse, high-caliber team.
  • Influence over hierarchy: flat structure where good ideas win, regardless of seniority.
  • Sustainable pace, long-term ambition: hybrid model combining Shoreditch office presence with work-from-home days, enabling balance and collaboration.
Last updated Sep 23, 2026. Interested? Apply on the company site.

About PhysicsX

Accelerating Industrial Innovation with AI

PhysicsX is deploying AI to transform how physical systems are engineered, embedding intelligence across the entire product lifecycle, from concepting and design to manufacturing and operations.

AIIndustrial InnovationDesignManufacturingOperationsAI ToolsProduct Lifecycle
Company profileWebsite

More open roles at PhysicsX