You will explore opportunities in edge AI, focusing on runtime abstraction, inference routing, and unified operational planes for heterogeneous hardware.
You will leverage a $250K investment, fundraising playbook, and operating team support to validate your idea and achieve early traction.
You should have early-stage operator experience in edge ML and on-device inference, with a passion for building venture-backed companies.
Seeking an early-stage operator experienced in AI infrastructure and compute platforms to build a company in the AI compute space.
The ideal candidate has run ML platform or infrastructure teams deploying inference across cloud, neocloud, and owned GPU/edge hardware.
Must be Canada or US-based and able to collaborate in North American time zones.
Forum Ventures is a venture studio that builds B2B SaaS businesses from 0 to 1, providing capital, networks, and resources to founders. They have launched 17 companies since 2023 and are launching 7 more in 2026, with a culture focused on speed, insight, and success.
Build and own the reusable on-device ML inference platform for Life360's portfolio of trackers and wearables, integrating edge ML into resource-constrained RTOS firmware.
Perform core firmware engineering including low-level driver development, power management, and debugging on real hardware, while carrying regular firmware work when ML demand is light.
Develop and ship ML models on device, handling quantization, optimization, and the full pipeline from sensor data to inference result, and set technical direction for on-device intelligence.
Life360's mission is to keep people close to the ones they love, offering a mobile app, Tile tracking devices, and Pet GPS tracker for location sharing, safe driver reports, and crash detection. The company serves approximately 97.8 million monthly active users across over 180 countries and has more than 500 remote-first employees, fostering a collaborative and mission-driven culture.
Passionate about building AI models from the ground up and deploying them in production
Excited about joining early-stage startups and working directly with founders
Interested in shaping AI strategy and leading the development of AI-powered products
SignalFire partners with top early-stage startups shaping the future of technology. They have a portfolio of over 200 innovative companies across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS.
Coordinate with AI and Network Software Engineers to design low-latency multi-node communication frameworks in restricted and/or disconnected environments.
Quantize, compile, and deploy real-time multi-agent pipelines for readiness across diverse edge architectures.
Develop algorithms for asynchronous multimodal data fusion, tracking, and signal processing.
webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure for personalized AI, focusing on private deployment at the edge. The company is a team driven by truth, ownership, tenacity, and humility, seeking individuals passionate about shaping next-generation AI.