Research, design, and develop optimization models for contact center workforce planning, scheduling, and resource allocation.
Implement the schedule optimization engine using OR-Tools/CP-SAT and own constraint models end to end.
Build production-grade solver services and collaborate with stakeholders to validate operational usability.
Miratech is a global IT services and consulting company that brings enterprise and start-up innovation together. It retains nearly 1,000 full-time professionals across 25 countries and has a culture of 'Relentless Performance' with a 99% project success rate.
Define the technical direction and architecture for a rapidly expanding GPU cluster platform.
Lead and mentor a team of senior infrastructure engineers while staying hands-on with complex systems.
Establish security strategies and operational practices to ensure reliable, efficient AI experiments.
This organization powers cutting-edge AI research through large-scale GPU cluster infrastructure. It fosters a collaborative, fast-moving environment where engineers work closely with researchers.
Design and build a scalable, cloud-native data enrichment service with a focus on performance, reliability, and developer experience
Partner with senior engineers, technical leads, and product managers to drive architecture decisions and champion best practices
Mentor and empower the team, multiplying their skills and fostering a culture of continuous improvement and innovation
Magnet Forensics is a global leader in digital investigative software that acquires, analyzes, and shares evidence from computers, smartphones, tablets, and IoT devices. With employees based around the world, the company fosters a culture of learning, development, and integrity.
Partner with product, design, and data science to deliver reliable, low-latency technical solutions.
Own the full software lifecycle from design docs to rollout for major infrastructure initiatives.
Drive engineering best practices, mentor teammates, and leverage AI-integrated tools for efficiency.
Reddit is a community of communities built on shared interests and trust, hosting open and authentic conversations. With 100,000+ active communities and ~130 million daily active users, it is one of the internet's largest sources of information.
Design and build LLM serving infrastructure on Kubernetes, including GPU scheduling, scaling, and model lifecycle management.
Package the platform for enterprise environments using Helm and integrate with API gateway, identity, and metering services.
Build observability for GPU inference in production, including serving metrics and GPU telemetry.
Mirantis is a Kubernetes-native AI infrastructure company that helps organizations build and operate scalable infrastructure for AI and data-intensive applications. With a culture of openness and collaboration, Mirantis is an established leader in cloud infrastructure, serving Fortune 500 and Global 2000 customers.
Own end-to-end performance for workloads on d-Matrix's inference cloud platform.
Diagnose performance issues across the full serving path, from orchestration to inference internals.
Use a profiling-first method to isolate problems and drive fixes across teams.
d-Matrix is an AI infrastructure company that pioneered a memory-centric architecture for efficient AI inference. The culture values respect, collaboration, and direct communication, with humble experts driven by execution.
Lead technical bring-up of large-scale GPU clusters from physical installation to validated production readiness.
Execute NVIDIA diagnostics, NCCL performance tests, and acceptance criteria for commercial service.
Serve as Tier 3 escalation point for complex production incidents and drive root cause analysis.
Highrise AI is a GPU-native infrastructure platform providing scalable compute for AI workloads across dedicated clusters and managed cloud. As a subsidiary of Hut 8 Corp, it combines disciplined operations, automation, and on-site engineering to sustain high uptime and predictable performance.
Act as the technical bridge between enterprise customers and core engineering, designing APIs, SDKs, and workflows.
Architect production-ready AI infrastructure for LLM inference, RAG pipelines, and GPU-accelerated workloads.
Write production-grade Go, Python, and TypeScript while shaping product strategy and mentoring engineers.
The hiring partner builds modern developer platforms and AI infrastructure that help enterprises ship AI-native applications. The team culture emphasizes hands-on technical excellence and collaboration; company size is not disclosed in the posting.
Design and implement distributed scheduling and workflow systems.
Build scalable, reliable platform services and storage abstractions.
Lead complex projects from design through production delivery and provide technical mentorship.
Voleon applies state-of-the-art AI and machine learning techniques to real-world problems in finance. We are a multibillion-dollar asset manager with a collegial, expert-driven culture.
Build and maintain internal CLIs, SDKs, and services in Python or Go for deploying and debugging AI agents.
Deploy, scale, and tune LLM inference with vLLM, including GPU scheduling and cost/latency trade-offs.
Own MLOps workflows, Kubernetes operators, and CI/CD to take AI agents from laptop to production.
Tessera Labs builds multi-agent AI systems that automate complex enterprise workflows across platforms like SAP, Salesforce, and Snowflake. Backed by Foundation Capital, the startup operates with extreme ownership and a fast-moving culture at the frontier of applied AI.
Own and improve the AI inference serving stack, including prefill/decode disaggregation, continuous batching, KV-cache management, and speculative decoding.
Drive GPU performance engineering by identifying and eliminating bottlenecks using CUDA, Triton, profiling, and kernel optimization.
Set the serving and measurement roadmap, establish engineering standards, and mentor engineers while remaining hands-on with implementation.
Aleroy builds a unified platform for high-performance AI inference, enabling companies to deploy and run AI models at scale through a single API. We work in small, collaborative teams focused on solving complex engineering challenges in scalable AI infrastructure.
Build inference systems powering RL research, scaling toward 1–3T parameter models on NVL72 clusters.
Optimize rollout throughput, multi-node MoE inference, and weight-update overhead for long-horizon agents.
Collaborate with model researchers on architecture choices balancing model quality and execution cost.
Prime Intellect is building the open superintelligence stack, unifying compute, environments, and deployment for frontier-scale AI post-training. Backed by $150M in funding, the team is mission-driven and hard-working, focused on accelerating open AI research.
Define enterprise technical strategy, hardware roadmaps, and deployment architectures for distributed AI compute infrastructure and edge fleets.
Establish system standards for reliability, disaster recovery, hardware security, and compute cost governance.
Lead architectural spikes, capacity planning, and vendor evaluations while providing technical oversight and mentorship.
Wendy's is a fast-food chain known for its square burgers and 'Quality is our Recipe' philosophy. It and its franchisees employ hundreds of thousands of people across 7,000+ restaurants worldwide, with a culture of openness, flexibility, and inclusiveness.
Lead multiple engineering teams via Engineering Managers and senior ICs, aligning with product and company priorities.
Drive AI leadership, fostering continuous improvement and applying emerging AI technologies to enhance productivity.
Own delivery and operational excellence for a defined product or platform area, partnering closely with Product and Design.
Algolia is the retrieval intelligence layer turning intent into trusted decision-grade outcomes, powering over 1.7 trillion queries a year for 18,000+ customers. With a global team across offices in Paris, NYC, London, Sydney, and Bucharest, the culture values grit, trust, candor, care, and humility.
Design and build the gateway, runtime, and evals services for AI workloads at scale.
Own technical decisions from design to launch, including identity, quota, and failover controls.
Partner with security and infrastructure teams to set guardrails for agentic workloads.
We provide clear, predictable pay-over-time financial products with no hidden fees. We are a remote-first company with an engineering culture centered on blameless postmortems and detailed technical design.
Drive architectural decisions across the [R]AIMS platform, balancing performance, scalability, security, and maintainability.
Lead major technical epics from conception through delivery, decomposing ambiguous problems into executable plans.
Mentor engineers, conduct design reviews, and raise technical execution across the platform.
Raft is a customer-obsessed, non-traditional defense technology company focused on AI/ML and data solutions for U.S. military and government agencies. Its culture emphasizes radical transparency, hyper-collaboration, and innovation with a mission-driven focus.
Own optimization of the inference stack: throughput, latency, cold starts, and cost per token.
Tune SGLang/vLLM engines, cut TTFT, boost KV cache reuse, and kill cold starts on 1.5 TB checkpoints.
Set technical direction with data, benchmark every change, and scale inference across nodes.
Kimchi is an LLM inference platform serving open models like DeepSeek and GLM from its own GPU fleet via one API line. It's made by CAST AI, a globally distributed team across 34 countries that hit unicorn status in 2026.
Build and ship production-quality software in response to real customer problems, prototyping and hardening in the field.
Spend real time at customer and job sites, working alongside field crews and operations teams.
Own complex integrations with enterprise APIs, utility GIS, and national field-technology platforms.
4M Analytics builds an AI platform that creates a subsurface world model, making utility data accessible to construction and government. They are a Series C company with 120 people across Tel Aviv and Austin, backed by Insight Partners, Viola, and F2.
Own and manage Tier 2 incidents and tickets for large-scale GPU compute and storage platforms.
Troubleshoot Linux servers, GPU systems, storage services, and Kubernetes/Slurm node failures.
Collaborate with NOC, SRE, and on-site technicians to restore service and improve runbooks.
Highrise AI is a GPU-native infrastructure platform built for modern AI workloads, providing scalable GPU compute across dedicated clusters, managed cloud, and confidential environments. As a subsidiary of Hut 8 Corp., it combines disciplined operations, advanced automation, and on-site engineering expertise to sustain high uptime and predictable performance.
Own customer solutions end-to-end: rapidly prototype, iterate, and deploy solutions in live operational environments.
Build trusted relationships from IC level to executive sponsor and become the technical face of the company.
Run multiple customer engagements in parallel, setting expectations and owning outcomes.
Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains with an AI-infused platform. We have grown to over 2000 employees worldwide with a best-in-class HQ in Ottawa and are proud winners of several Top Employer awards.