or apply directly on PhysicsX's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 23 days PhysicsX's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 26% of PhysicsX's roles list one
- Ghost-job risk at PhysicsX
- high 25 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
- 2026-09-17
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
In this role, you will design and build distributed systems and APIs for high-dimensional simulation data, focusing on the machine learning lifecycle. You'll collaborate closely with the infrastructure team, mentor other engineers, and remain hands-on with coding. The position requires strong communication skills and adaptability in a fast-paced environment, as the scope may evolve due to team reorganization.
- benefits
- 5/5
- freshness
- 4/5
- career value
- 4/5
- 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
- Strong Kubernetes experience, including comfort with CRDs, Operators, and infrastructure configuration tools such as Helm or ArgoCD
- Strong command of Go, plus working knowledge of Python
- Experience deploying and supporting services in more than one production environment
- An ML platform background or prior data science experience
- Strong communication and organisational skills
- Prior experience mentoring or developing other engineers
Nice to have
- Comfort with Rust
- Experience at an ML focused startup or platform company
- Understanding of what it takes to build and support software across cloud, on premises, and air gapped environments
- Experience with big data systems and analytics at scale in production
- Side projects, open source contributions, or things you have built for their own sake
What you get
- Equity options
- 10% employer pension contribution
- Free office lunches
- Flexible working
- Hybrid setup
- Enhanced parental leave
Worth weighing
- The role may evolve as team structures settle, so the scope is intentionally broad
- This is a software engineering role, not an ML research role, so a focus on coding is expected
- The company is in a fast-paced environment where priorities shift frequently
Summarised from PhysicsX's posting. Read the full original.
Listed by PhysicsX on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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