Software Engineer - Sensing, Consumer Products

TL;DR

Software Engineer (Sensing, AI): Building and shipping production software for sensing algorithms, translating prototypes into reliable end-to-end systems with an accent on Python shipping pipelines and embedded/on-device software. Focus on optimizing real-time on-device perception loops for stability, latency, power, and memory constraints and creating data collection and instrumentation tooling.

Location: This role is based in San Francisco, CA, with a hybrid work model of four days in the office per week. Relocation assistance is offered to new employees moving to the United States.

Salary: $325,000 + offers equity

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity by pushing the boundaries of AI systems.

What you will do

• Build and ship production software for sensing algorithms, translating algorithm prototypes into reliable end-to-end systems.
• Implement and own key parts of the Python shipping pipeline (integration surfaces, evaluation hooks, and quality/performance guardrails).
• Develop embedded/on-device software in an RTOS environment (e.g., Zephyr) and deploy models to device runtimes and hardware accelerators.
• Optimize real-time on-device perception loops for stability, latency, power, and memory constraints.
• Create data collection and instrumentation tooling to bring up new sensing modalities and accelerate iteration from prototype to model to device.
• Partner cross-functionally with algorithm, human data, firmware, and hardware teams to debug, profile, and harden systems against real-world variability.

Requirements

• English: B2 required (job posting is in English).
• Love writing great software and want your work to sit close to novel sensing and edge algorithms.
• Understand algorithm behavior well enough to integrate, debug, and evaluate it.
• Have shipped production Python systems and care about clean interfaces, tests, and long-term maintainability.
• Enjoy embedded/on-device work and can debug across hardware, firmware, and higher-level application layers.
• Care about performance engineering and know how to profile and optimize under tight device constraints.
• Take ownership end-to-end and thrive in ambiguous, fast-moving, zero-to-one environments.

Nice to have

• Zephyr (or similar RTOS) experience.
• On-device ML deployment (NPU/GPU/DSP) and accelerator-aware profiling/optimization.
• Background in multimodal sensing, sensor fusion, or on-device perception.
• Experience building data collection systems and human-in-the-loop workflows.

Culture & Benefits

• Hybrid work model of four days in the office per week.
• Equal opportunity employer committed to diversity, equity, and inclusion.
• Committed to providing reasonable accommodations to applicants with disabilities.
• Focus on ensuring general-purpose artificial intelligence benefits all of humanity.