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PhysicsX

Senior Applied Engineer

PhysicsX · Singapore

Posted about 2 months ago

or apply directly on PhysicsX's site. We never take the application ourselves.

Is this posting real?

This role has been open
66 days
PhysicsX's roles stay open a median of 66 days
Reposted
No
Salary listed
No
26% of PhysicsX's roles list one
Ghost-job risk at PhysicsX
high
33 stale, 2 reposted of 42 open
Hiring momentum
58 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-08

Measured from postings appearing on and disappearing from PhysicsX's own greenhouse board since 2026-08-03. Full hiring picture for PhysicsX.

About this role

As a Senior Applied Engineer at PhysicsX, you will collaborate with research scientists and simulation engineers to develop AI models that solve complex physics and engineering challenges. Your role involves designing and building scalable physical foundation models, transforming prototypes into optimized implementations, and translating research findings into reusable libraries and products. You will also mentor colleagues and engage with customers to discuss the implications of your work.

Our read on this posting2.4out of 5
benefits
2/5
freshness
1/5
career value
5/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of PhysicsX as an employer.

What you need

  • Enthusiasm about developing machine learning solutions, especially deep learning and/or probabilistic methods
  • Ability to work autonomously and deliver projects across various domains
  • Strong problem-solving skills
  • Excellent collaboration and communication skills
  • MSc or PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, software engineering, or a related field
  • Experience in scientific computing

Nice to have

  • >2 years of experience in a data-driven, professional setting
  • Experience in scaling and optimising ML models
  • Experience with distributed computing frameworks (e.g., Spark, Dask)
  • Experience with high-performance computing frameworks (MPI, OpenMP, CUDA, Triton)
  • Experience with cloud computing (AWS, Azure, GCP)

What you get

  • Opportunity to help shape an AI-native engineering company
  • Work with a high-caliber, collaborative team
  • Flat structure that encourages questioning assumptions
  • Hybrid work model for flexibility

Worth weighing

  • No salary listed
  • Focus on deep learning and probabilistic methods may limit exposure to other areas of machine learning
  • Expectations for mentorship and collaboration may require strong interpersonal skills

Summarised from PhysicsX's posting. Read the full original.

Listed by PhysicsX on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.

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