• Own and evolve platform systems in proprietary engines across PC and consoles, with an emphasis on performance and reliability. • Implement and optimize memory systems (allocators, pools, paging/streaming heaps, fragmentation mitigation, lifetime tracking, OOM safety). • Build and tune I/O and streaming foundations (async file I/O, decompression pipelines, asset streaming, prioritization, bandwidth/latency hiding, patch-friendly layouts). • Improve CPU performance and scalability (job systems, thread scheduling, contention reduction, cache/memory locality, frame-time stability, hitch reduction). • Integrate and maintain platform SDK-facing code and abstraction layers, ensuring clean boundaries between platform-specific and cross-platform systems. • Profile and optimize using platform and internal tooling (CPU sampling, memory trackers, I/O traces, performance capture tools) to identify bottlenecks and regressions. • Partner with gameplay, rendering, audio, and content teams to define budgets, best practices, and guardrails that keep builds performant and stable. • Contribute to tooling and workflows that improve developer velocity (profiling hooks, telemetry, regression tests, automated reporting, validation checks). • Communicate clearly to production and stakeholders on constraints, trade-offs, risk, and roadmap for performance and platform readiness.

• Create paved paths from local dev to prod. • Make builds faster, safer, and more observable. • Partner deeply with product engineering teams. • Raise the bar on engineering standards and release quality. • Shape the roadmap for developer productivity.

Role Description Bitdeer is seeking a visionary and hands-on Cloud SRE Architect to lead the design, development, and evolution of our next-generation public cloud platform. This role will oversee the end-to-end architecture across CPU, GPU, RDS, storage, networking, serverless, and AI services, ensuring global scalability, reliability, and performance. The ideal candidate is a strategic thinker with deep technical expertise in cloud infrastructure, platform engineering, and AI systems, capable of bridging architecture vision with real-world engineering execution. You will collaborate closely with cross-functional teams and global partners to define our cloud technology roadmap, optimize multi-region deployments, and deliver world-class infrastructure and platform solutions that power large-scale AI and enterprise workloads. Key Responsibilities - Own the end-to-end architecture of the NeoCloud SRE platform. - Write and maintain the platform architecture document. - Review every framework-level change. - Set design invariants. - Run the plugin framework. - Decide tier placement. - Coordinate with cloud-service teams and tenants. - Coordinate with Security. - Pre-flight roadmap items. - Defend the design under review. Qualifications - 10+ years of production SRE / platform-engineering / infra-architecture, including ≥ 3 years at architect level. - Hands-on with GPU / AI-compute infrastructure. - Multi-region observability at scale. - Cluster platforms experience. - Data-center operations knowledge. - Strong DDD instincts. - Plugin framework design experience. - Writing fluency. - Cross-team operating tempo. - Hyperscale or NeoCloud experience. - BS/MS in Computer Science or similar. Company Description Bitdeer is a world-leading technology company for AI and Bitcoin mining infrastructure. Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers and building AI computational infrastructure to support the AI revolution. Bitdeer handles complex processes involved in computing such as equipment procurement, transport logistics, data center design and construction, equipment management, and daily operations. Bitdeer also offers advanced cloud capabilities to customers with high demand for artificial intelligence. Headquartered in Singapore, Bitdeer has deployed data centers across multiple countries, including the United States, Norway, Bhutan, and Ethiopia.

Role Description The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems. As a Platform Engineer in Model Shaping, you will work at the intersection of backend engineering and infrastructure, building the foundational layers of Together’s platform for model customization and evaluation. You will design, develop, and operate both the backend services and the underlying systems that enable us to sustainably and reliably scale production workflows launched by our users, as well as internal research experiments. You will operate in a cross-functional environment, collaborating with other engineers and researchers in the team to improve the infrastructure based on the needs of projects they work on. You will also interact with other engineering teams at Together (such as Commerce, Data Engineering, and Cloud Infrastructure) to integrate the services developed by Model Shaping with systems developed by those teams. Responsibilities - Design and build Together’s systems and infrastructure for model customization, including user-facing features and internal improvements - Contribute to reliability improvements for the platform, participating in an on-call rotation and improving processes for incident response - Create and improve internal tooling for deployment, continuous integration, and observability - Build a job orchestration platform spanning multiple datacenters, supporting a highly heterogeneous hardware landscape - Partner with teams developing internal services, co-designing these services and incorporating them in systems built within Together Qualifications - 3+ years of experience in building infrastructure or backend components of production services - Extensive experience designing, operating, and troubleshooting production Linux environments and Kubernetes-based platforms - Strong software engineering background in Python or Go - Experienced with infrastructure automation tools (Terraform, Ansible), monitoring/observability stacks (Prometheus, Grafana), and CI/CD pipelines (GitHub Actions, ArgoCD) - Cloud environment (e.g., AWS/GCP/Azure) administration experience, preferably with a hybrid bare-metal/cloud environment - Strong communication skills, be willing to document systems and processes and collaborate with peers of varying technical expertise - Comfortable operating across the stack, from cluster operations and infrastructure automation to backend service development Requirements - Experience in any of the following will make you stand out: - Developing large-scale production systems with high reliability requirements - Pipeline orchestration frameworks (e.g., Kubeflow, Argo Workflows, Flyte) - Managing GPU workloads on HPC clusters, ideally with hands-on experience in operating NVIDIA’s networking stack (e.g., NCCL, Mellanox firmware, GPUDirect RDMA) - Deployment of services for AI training or inference - Networking fundamentals, including TCP/IP, DNS, routing, load balancing, TLS, and network debugging tools - Maintaining or contributing to open-source projects Benefits - Competitive compensation - Startup equity - Health insurance - Flexibility in terms of remote work - The US base salary range for this full-time position is $200,000 - $290,000 - Individual compensation will be determined by experience, skills, and job-related knowledge Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.