Lumnix

About the Company

Innovative AI FInTech company is a venture-backed AI-powered platform built specifically for consumer brands. It connects to sources like banks, POS systems, and advertising platforms to deliver daily profit & loss snapshots, cash flow plans, and peer benchmarking - all in real time. With integrations across finance, e‑commerce, and marketing tools, it provides the clarity and automation brands need to grow confidently 

What You’ll Do

• Build and maintain data pipelines and backend services in Python, handling ingestion, transformation, validation, and storage.
• Use dbt along with SQL to define models, write tests, document metrics, and orchestrate transformation logic in the data warehouse.
• Architect and deploy scalable, reliable systems to support large volumes of financial data.
• Deliver end-to-end data workflows: own schema design, ETL processing, monitoring, and error handling.
• Make thoughtful architecture decisions to optimize for performance, maintainability, and security.
• Work cross-functionally with product, engineering, analytics, and finance teams to translate business needs into data solutions.
• Develop tooling and dashboards to monitor pipeline health, data quality, and system performance.
• Mentor junior team members and promote strong engineering practices in testing, documentation, and deployment.

What We’re Looking For

• 4+ years of experience in data engineering or backend software engineering roles.
• Proficiency in Python, with strong knowledge of data structures, orchestrators (dagster, airflow) and dbt.
• Experience building and maintaining ELT pipelines, ingesting raw API data and converting it into clean, unified metrics.
• Familiarity with ELT frameworks/tools like Airbyte, including connector setup and pipeline monitoring
• Experience designing and optimizing data pipelines - ingesting, transforming, and validating data at scale.
• Proven ability to work independently, owning major components with minimal supervision.
• Solid database skills: SQL, data modeling, familiarity with both relational (e.g., Postgres) and NoSQL systems.
• Experience deploying data solutions in cloud environments (e.g., AWS, GCP) and familiarity with containerization (Docker, Kubernetes).
• Strong problem-solving, debugging, and monitoring practices - logs, metrics, tracing, alerting.
• Excellent communication skills; ability to collaborate across teams and articulate technical decisions.
• Work with data from a variety of integrations, including Shopify, Amazon, Facebook, TikTok, QuickBooks, Xero, NetSuite, and more - ensuring consistent and accurate ingestion across multiple platforms

What We Offer

• Competitive salary aligned with market standards, with annual salary reviews.
• A friendly, collaborative startup environment where you can drive impact in a mission-critical space for growing consumer brands.
• High-growth opportunity - join early and help shape a cutting-edge product used by high-velocity, finance-driven companies.
• Access to modern tech stack, including serverless/cloud-native solutions, event-driven pipelines, and experimentation with LLMs/AI for data validation.
• Generous time off, flexible work arrangements, and commitment to work-life balance.

About Iris Finance

Iris Finance is a venture-backed AI-powered platform built specifically for consumer brands. It connects to sources like banks, POS systems, and advertising platforms to deliver daily profit & loss snapshots, cash flow plans, and peer benchmarking - all in real time. With integrations across finance, e‑commerce, and marketing tools, Iris provides the clarity and automation brands need to grow confidently 

What You’ll Do

• Build fullstack platform features
• Develop and optimize features for financial workflows: demand planning, cashflow forecasting, board-ready models, and more
• Develop with AI native tools like Cursor
• Work closely with the founders on product roadmap, user experience, and prioritization
• Thrive in a fast-paced, zero-to-one startup environment

What We’re Looking For

• 5+ years of full stack development experience, ideally in early-stage or high-growth environments
• Fluency with modern backend (Next.js) and frontend frameworks (React)
• Strong experience with AWS, Cursor (or other AI-assisted code tooling), and data-centric infrastructure
• Deep curiosity and understanding of financial systems or consumer brand operations (or willingness to learn fast)
• Comfortable building solo

Would be a Plus

• Experience with forecasting models, time series, or FP&A tooling
• Experience with dashboarding tools like looker, power BI, etc.

What We Offer

• Competitive salary aligned with market standards, with annual salary reviews.
• A friendly, collaborative startup environment where you can drive impact in a mission-critical space for growing consumer brands.
• High-growth opportunity - join early and help shape a cutting-edge product used by high-velocity, finance-driven companies.
• Access to modern tech stack, including serverless/cloud-native solutions, event-driven pipelines, and experimentation with LLMs/AI for data validation.
• Generous time off, flexible work arrangements, and commitment to work-life balance.

About Corvex

Corvex delivers unparalleled cloud-based AI infrastructure, featuring cutting-edge NVIDIA GPUs that combine exceptional reliability, security, performance, and value. We're ready to build a world-class experience for developers and data scientists across enterprise and AI-native organizations that will enable professionals to focus exclusively on training, fine-tuning, and inference of their AI models, while we manage the nuts and bolts of our premium infrastructure.

Position Description

We’re looking for a performance-obsessed AI researcher to join our team. Your mission is to turn whitepapers, profiling traces, and raw intuition into working optimizations that make real workloads faster. You’ll work across compiler frameworks, GPU kernels, graph IRs, memory strategies, and quantization techniques - with the freedom to test hypotheses quickly and the responsibility to ship production-worthy gains.

This is a research role with an emphasis on delivering production-quality code. You’ll sit at the boundary between compiler experimentation and systems engineering, helping make Ignite one of the fastest inference engines in the world.

What You’ll Do

• Profile and optimize transformer-based inference pipelines
• Research and experiment with graph-level and kernel-level optimizations
• Design experiments, measure speedups, and continuously shave off latency across varying batch sizes, sequence lengths, and architectures
• Collaborate closely with the engineering teams to ensure results translate into real-world improvements
• Stay ahead of the optimization literature - and bring in ideas before they’re stale

What We’re Looking For

• Strong programming experience in C++ and Cuda
• Hands-on experience with performance profiling and tuning
• Existing understanding or interest in learning GPU architecture
• Comfort working with compiler toolchains and intermediate representations 
• Curiosity and intensity - you enjoy tuning workloads at breakneck speed, not just shipping the baseline
• Bonus: experience with quantization-aware training, kernel autotuning, or specialized LLM serving runtimes

What We Offer

• Competitive salary with meaningful equity
• A chance to help define a new category of AI infrastructure
• Greenfield architecture - build the product you’ve always wanted to use
• High trust and autonomy, with deep impact on platform direction
• Remote-first culture with the option to collaborate in person as we scale
• Small, highly skilled team and zero bureaucracy

About Corvex
Corvex delivers unparalleled cloud-based AI infrastructure, featuring cutting-edge NVIDIA GPUs that combine exceptional reliability, security, performance, and value. We're ready to build a world-class experience for developers and data scientists across enterprise and AI-native organizations that will enable professionals to focus exclusively on training, fine-tuning, and inference of their AI models, while we manage the nuts and bolts of our premium infrastructure.

Position Description

We’re looking for experienced engineers who have built scalable, distributed systems and strong Kubernetes expertise to join our team. You’ll help build the orchestration and middleware layer that unleashes the power of our world-class inference engine across a fleet of high-performance compute.

What You’ll Do

• Design and build distributed backend systems using Go, with optional contributions in Python, Rust, or Java
• Develop and maintain Kubernetes controllers and operators that automate lifecycle management for model inference jobs
• Build orchestration logic to route workloads efficiently across GPU fleets, leveraging custom scheduling and service registration patterns
• Collaborate on the early design of our public APIs
• Collaborate with our research and development teams as we refine the engine and public-facing endpoints for our 
• Participate in architecture discussions, code reviews, and shared design documents

What We’re Looking For

• 10+ years of experience in backend or systems development
• Strong experience with Kubernetes, including writing or maintaining custom operators/controllers
• Hands-on experience with distributed systems, job scheduling, or workflow orchestration
• Familiarity with monitoring and alerting frameworks with an emphasis on Prometheus and Grafana
• Comfort working in Go and experience debugging real-world infrastructure issues
• Ability to own complex systems end-to-end - from API design to deployment
• Strong communication skills and a self-directed mindset suited to fast-moving startup environments

What We Offer

• Competitive salary with meaningful equity
• A chance to help define a new category of AI infrastructure
• Greenfield architecture - build the product you’ve always wanted to use
• High trust and autonomy, with deep impact on platform direction
• Remote-first culture with the option to collaborate in person as we scale
• Small, highly skilled team and zero bureaucracy

About Corvex

Corvex delivers unparalleled cloud-based AI infrastructure, featuring cutting-edge NVIDIA GPUs that combine exceptional reliability, security, performance, and value. We're ready to build a world-class experience for developers and data scientists across enterprise and AI-native organizations that will enable professionals to focus exclusively on training, fine-tuning, and inference of their AI models, while we manage the nuts and bolts of our premium infrastructure.

Position Overview:

We are looking for an engineer to design, optimize, ensure a reliable and scalable high-performance network infrastructure. The ideal candidate will prioritize system reliability, proactively implementing best practices to minimize downtime and ensure consistent performance for mission-critical workloads.

This person will design, deploy, and maintain high-performance network infrastructure for AI/ML applications, data centers, and private GPU clouds. You will work with cutting-edge networking technologies, including RDMA, InfiniBand, and cloud-based networking solutions, to ensure low-latency, high-throughput communication across our distributed systems.

This role also includes being responsible for the deployment, maintenance, and operation of data center infrastructure. This includes managing servers, networking hardware, and structured cabling. The role ensures optimal uptime and performance of the data center environment while supporting new infrastructure builds and ongoing capacity planning.

Key Responsibilities:

• Design, deploy, maintain and tune high-speed networking infrastructure for private and cloud-based AI/ML workloads.
• Configure and optimize RDMA/InfiniBand networks for high-performance computing (HPC) clusters.
• Manage and tune networking for NVIDIA GPU cloud environments, ensuring low-latency data transfers.
• Implement, manage, and tune network security policies, firewalls, and VPNs.
• Automate network management tasks using Python, Ansible, or other scripting tools.
• Monitor, troubleshoot, and optimize network performance using tools like Prometheus, Grafana, and Wireshark.
• Collaborate with DevOps, AI, and cloud infrastructure teams to ensure seamless connectivity across distributed environments.
• Design, manage, and tune software-defined networking (SDN) solutions for private and hybrid cloud deployments.
• Ensure compliance with networking best practices, security policies, and industry regulations.
• Data center trips to help Install, configure, and maintain server and network equipment.

Required Skills & Qualifications:

• Education: Computer Science, Networking, or a related field (or equivalent experience).
• Networking Protocols: Deep understanding of TCP/IP, BGP, VLANs, VXLANs, and MPLS.
• High-Performance Networking: Experience with RDMA, InfiniBand/Pkey, and NVIDIA/Mellanox Cumulus networking solutions.
• Edge Networking: Experience supporting Juniper routers
• Network Security: Proficiency in firewalls (pfSense), IDS/IPS, and Wireguard VPN technologies.
• Cloud Networking: Experience with virtual networking, and cloud networking solutions.
• Automation & Scripting: Knowledge of Python, Ansible, Terraform, and Bash for network automation.
• Monitoring & Troubleshooting: Familiarity with Wireshark, tcpdump, Prometheus, Grafana, and SNMP-based monitoring.
• Infrastructure as Code (IaC): Experience with automating network configurations using scripting tools leveraging Terraform and Ansible.
• Data Center: Experience in data center operations or IT infrastructure. Familiarity with rack-and-stack procedures, fiber/copper cabling, and network troubleshooting.

Preferred Qualifications:

• Experience in designing network architectures for AI/ML and high-performance computing (HPC) environments.
• Knowledge of data center networking with large-scale deployments.
• Familiarity with private networks and edge computing.
• Experience with zero-trust security frameworks.

Soft Skills:

• Ability to adapt and thrive in an ambiguous, fast-moving startup environment.
• Strong problem-solving skills and the ability to diagnose complex networking issues.
• Excellent communication skills, with the ability to work across DevOps, AI, and cloud engineering teams.
• Detail-oriented mindset, ensuring high availability and reliability of network infrastructure.

Benefits:

• 100% covered health, dental, and vision insurance.
• Flexible hybrid work arrangements.
• Performance-based bonuses.
• Access to cutting-edge AI/ML infrastructure.