2,066,780open jobs
123,060companies
253,190added this week
Browse all
Salary
≈ $31k – $69k per year (Estimated)
Location
Hybrid (Singapore)

Confirmed on the employer's own hiring board on Oct 31, 2026. First seen by Alion on Oct 30, 2026. PhysicsX scores A on the Alion truth index.

Overview
Company
Impact
Profile match
PhysicsX is a deep technology company that develops artificial intelligence and simulation software to accelerate engineering and advanced manufacturing. Founded by former Formula One engineers and computer scientists, the organization uses physics-informed AI and deep learning to optimize complex designs in fields like aerospace, automotive, and renewable energy. By replacing traditional, time-intensive physics simulations with real-time machine learning models, it enables companies to innovate faster and dramatically improve performance.

About us

Re-architecting Engineering for the Age of Intelligence

PhysicsX is the physics AI company for industrials. The company’s mission is to accelerate hardware innovation by overhauling what industrial engineering and manufacturing look like today. PhysicsX is building a new simulation software stack to deliver deep physics AI enablement across the entire engineering lifecycle. The company partners with leading organisations in aerospace & defence, automotive, semiconductors, materials, and energy & renewables, supporting them on some of their most critical and complex challenges. PhysicsX is headquartered in the United Kingdom, with offices in London, New York, and Singapore and an expanding presence in the Bay Area.

 

The role

Platform Support Engineers are PhysicsX’s first technical responders for enterprise customers and internal users of the Platform. You’ll own the path from intake to resolution: triage, first-pass investigation, customer updates, and, where you can’t fix it yourself, a high-quality escalation to Product, SRE, FDSE or Deployment Engineering. This isn’t a service desk. You’re building the repeatable front door into PhysicsX’s deeper technical capability. This is a hybrid role working from our New York City office 3 days per week.

What you’ll do

Own it, investigate it, fix it where you can. You’re the first engineer on every issue, and you own it until it’s closed, whether you resolve it yourself or bring in Product, SRE, FDSE or Deployment Engineering. Your goal is to resolve a growing share of issues without escalation, and to hand over a root-cause diagnosis rather than a symptom when you do escalate.

  • Triage incoming issues, classify severity, and run the first-pass investigation across product, platform, infrastructure and customer environment to find where the problem most likely lies.
  • Resolve what you can. When you can’t, hand over with the logs, events, config, timeline, what you’ve already tried, and a recommended next step.
  • Work within a structured incident process: response targets, clean handovers, and post-mortems.

Debug inside the platform.

  • Navigate Kubernetes (EKS, AKS and others): inspect workloads, ingress, permissions and cluster health, read events and logs, and work out what’s failing and why. You don’t need to be a cluster admin, but you do need to know when to hand over.
  • Use Linux, container and Helm knowledge, monitoring signals (logs, metrics, alerts, Prometheus-style) and cloud fundamentals (networking, compute, storage, IAM) to tell whether a symptom points at the application, the cluster or the cloud layer.
  • Time-box investigations and escalate promptly when progress stalls.

Work the GitOps way.

  • Use the cluster to look and Git to change. Fixes go through reviewed pull requests (or a ready-to-review change handed to the owning team), because live edits get reverted by reconciliation (e.g. Argo CD) or drift from Git. Call out drift when you see it.
  • When urgent action is needed to stabilise things (like restarting a workload), take it deliberately, record it on the ticket, and capture the lasting fix in Git.

Communicate clearly.

  • Give customers and internal stakeholders plain-language updates: what’s known, what isn’t, and what happens next.
  • Coach customer engineers step by step when you can’t access their environment, as with air-gapped deployments.
  • Keep a defensible priority order across competing issues, and say explicitly what’s being deprioritised, why, and when it will be revisited.

Build the function.

  • Write runbooks, capture repeatable fixes, and feed recurring issues back to Product and Platform teams so they’re fixed at the source.
  • Work across SaaS, hosted/VPC and air-gapped deployments, and understand how release, scanning and promotion differ in each and what that means for resolution time.
  • PhysicsX support is being stood up now, and tools (including ticketing) will change. Help shape what comes next.
  • You’ll work with a globally distributed team. Coverage includes planned evening shifts and a weekend rota, with the pattern evolving as demand grows.

What we’re looking for

Must have

  • Clear communication with non-technical stakeholders, including during live incidents and when guiding someone remotely
  • Sound triage and escalation judgement: distinguishing PX defects from deployment/config issues and customer-side dependencies, knowing what justifies out-of-hours contact, and staying calm when something is broken
  • Working Kubernetes familiarity: investigating pods that won’t start or keep restarting, and knowing when to hand over
  • A GitOps mindset: Git as source of truth, PR-based change, environment promotion (Argo CD experience helps, but the mindset matters more than the tool)
  • Strong Linux and troubleshooting fundamentals
  • Cloud fundamentals (networking, compute, storage, IAM) and comfort reading logs, metrics and alerts
  • Comfort working across teams and with change in a fast-moving, new function

Nice to have

  • Experience with structured support or incident management (ITSM, severity classification, post-incident reviews)
  • Hands-on Argo CD, Helm, Docker or YAML troubleshooting
  • Deeper EKS/AKS experience
  • Experience across SaaS, VPC and air-gapped deployments
  • A habit of writing runbooks and improving playbooks

What we use today (a snapshot, not a requirement): Kubernetes, Argo CD, Docker, Helm, Prometheus-style monitoring, Linear for engineering work, Slack for coordination, and Zendesk for our ticketing platform.

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. 

We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. 

We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application. 

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
2,066,780 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Support
Similar stack
Same company
Singapore
≈ $24k – $42k per year (Estimated) · In office · Full-Time · Singapore
Apply
$42k – $85k per year (gross) · In office · Full-Time · 3+ years exp · Singapore
Apply
≈ $25k – $55k per year (Estimated) · In office · Full-Time · Bachelor's Degree · Singapore
Java
SQL
C#
DevOps
Unix
Apply
$38k – $56k per year (gross) · In office · Full-Time · 2+ years exp · Singapore
Python
JavaScript
TypeScript
Node JS
AI/ML
Claude Code
Prompt Engineering
LLM
DevOps
CI/CD
Git
AWS
Docker
Cybersecurity
OWASP Top 10
OWASP
Apply
$61k – $99k per year (gross) · In office · Contractor · 8+ years exp · Singapore
DevOps
Azure
Cybersecurity
Microsoft Entra ID
Active Directory
Management
SharePoint
Apply
≈ $57k – $115k per year (Estimated) · In office · 5+ years exp · Bachelor's Degree · Singapore
Apply
≈ $47k – $130k per year (Estimated) · In office · Bachelor's Degree · Singapore
Python
JavaScript
TypeScript
C#
C++
AI/ML
Copilot
Model Context Protocol
Embeddings
Prompt Engineering
Function Calling
AI Agents
LLM
RAG
Structured Outputs
Semantic Search
Knowledge Graph
Agentic Workflows
DevOps
Git
Management
Agile
Apply
≈ $64k – $122k per year (Estimated) · In office · 3+ years exp · Bachelor's Degree · Singapore
Python
C++
AI/ML
Reinforcement Learning
Machine Learning
DevOps
CI/CD
Git
Management
Agile
Apply
≈ $62k – $119k per year (Estimated) · In office · Master's Degree · Singapore
Python
C#
C++
Apply
≈ $85k – $175k per year (Estimated) · In office · 10+ years exp · Bachelor's Degree · Singapore
AI/ML
BERT
InfiniBand
DevOps
HPC
Apply
See all jobs
This is one of many
2,066,780 more open roles from verified company boards, updated every day.