Senior Platform Engineer
PhysicsX
Software Engineering
New York, USA
USD 150k-240k / year + Equity
Posted on Aug 22, 2025
About us
PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.
We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.
We are currently hiring for several positions. Please apply for one role that best aligns with your skills and career goals, and our hiring team will evaluate where your profile and motivations are the best fit.
The Role
We’re looking for enthusiastic and passionate Senior Platform Engineers to join our Cloud Engineering team at PhysicsX. The Cloud Engineering team is fundamental to, and underpins, how our software is deployed for use both internally and by customers. We collaborate across the organization to support our product teams as they build our enterprise software-as-a-service platform, our delivery teams tackling complex engineering challenges with our customers, and our research teams working on cutting-edge AI research and technology. The Cloud Engineering team is critical in enabling all of our teams to push the boundaries of what’s possible in the world of artificial intelligence and machine learning.
As a Platform Engineer, you will be paramount to the development and implementation of our internal developer platform, significantly enhancing the experience of our software engineers at scale. This role presents an exciting opportunity to shape the future of our cloud estate and self-service internal developer platform in a dynamic environment where innovation and impact are prioritized.
Our Cloud Engineering team is diverse in skillset, working collaboratively on infrastructure and corresponding tools that constitute our internal developer platform offering. Recent projects have included supporting our public release of Ai.rplane; optimizing cloud-based GPU workloads for model training, and re-architecting our cloud estate to modernise, standardise, and reduce cost. You can find out more about PhysicsX and our work from our AWS re:Invent 2024 talks, including how we’re using high-performance computing to drive innovation, or how large geometry models are transforming advanced engineering.
Note: Due to the nature and requirements of this role, we are only open to candidates who are Citizens of the US.
What you will do
- Manage day-to-day operations of our cloud infrastructure, primarily on AWS, with increasing work across Microsoft Azure, Google Cloud Platform, and other cloud providers
- Design, implement, and manage scalable Kubernetes architectures with a strong focus on multi-tenancy, ensuring efficiency and security across our cloud infrastructure and internal developer platform
- Collaborate across teams to understand their needs and facilitate the deployment and end-to-end management of applications across Kubernetes clusters
- Utilise tools such as Helm, Terraform, and GitHub Actions to automate infrastructure provisioning, configuration management, and continuous deployment processes
- Enhance our internal developer platform, working closely with software engineers to identify pain points and deliver outcomes to improve their workflows
- Architect and continually enhance our cloud infrastructure, implementing best practices to streamline and simplify operation
What the ideal candidate looks like
- Prior experience as a Platform Engineer, DevOps Engineer, or in a similar role with a focus on internal developer platforms or infrastructure-as-as-service
- Strong proficiency in Kubernetes, including multi-tenancy architectures, security by design, and experience deploying and managing Kubernetes clusters in production environments
- Strong collaboration and communication skills, with the ability to work effectively across diverse teams
- Experience in building and troubleshooting large-scale distributed systems and infrastructure on cloud service providers
- Exerience using tools like Helm, Terraform, Crossplane, etc.
- Experience in cloud networking fundamentals
- Familiarity with the Kubernetes operator pattern and its advantages and disadvantages
- Familiarity with cloud service providers (AWS, Azure, GCP, etc.) and their respective services, understanding the balance between Kubernetes-native services and cloud-based services
- Familiarity with one or more programming languages, such as Python or Go
- Familiarity with observability tools such as OpenTelemetry, Grafana, and Prometheus
- Familiarity with using and provisioning GPUs in a cloud environment
- Enthusiasm in using modern, cloud-native technologies, such as the CNCF landscape projects and products
What we offer
- Equity options – share in our success and growth.
- 5% 401(k) match – invest in your future.
- Flexible working – balance your work and life in a way that works for you.
- Hybrid setup – enjoy our Manhattan office while keeping remote flexibility.
- Enhanced parental leave – support for life’s biggest milestones.
- Private healthcare – comprehensive coverage for you and your family.
- Personal development – access learning and training to help you grow.
- Work from anywhere – extend your remote setup to enjoy the sun or reconnect with loved ones.
Salary range:
$150,000 - 240,000 depending on experience
Seniority will be assessed throughout our interview process
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.