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Senior Computer Vision Engineer
Afero
Los Altos, CA

Why You’ll Want to Work With Us
For a small team, Afero engineers collectively do a little bit of everything—from cloud applications and infrastructure to mobile development on multiple platforms, firmware on a wide range of devices, to board-level hardware design and implementation of secure wireless devices. Everyone here can follow their curiosity to broader horizons. If you enjoy deep dives into assorted technology stacks to understand end-to-end system workflows, can adapt past experiences to new solutions, and can communicate ideas clearly among diverse audiences, Afero is a fantastic opportunity to explore and to expand your expertise.

What is the Role
The Afero Camera team delivers through a mobile application an experience that transports customers with audio and video to the location of the camera device. The candidate would be responsible for programming firmware, running at the edge device, that interprets the scene informing the customer of its importance. The Camera Architect, in coordination with the Senior Computer Vision Engineer, will choose the HW needed to understand the scene and iterate its capabilities from platform to platform. We want an energized and motivated individual who can use their big brain and past experiences (both good and bad!) to help us make category-leading IP cameras that have great security while providing amazing experiences and value for our customers.

Who We’re Looking For
The range of disciplines and experiences represented at Afero is broad and deep, and everyone on the team contributes a distinct perspective. This is the culture we strive to sustain as we grow, and expect successful candidates to bring unique combinations of skills and experience. 

Candidates would be expected to:

    • Provide engineering expertise and guidance in the approval of hardware to implement their algorithms
    • Write the edge device firmware needed in C/C++ to implement their algorithms
    • Collect and analyze the data needed to train any algorithms
    • Have a deep knowledge and understanding of computer vision for smartphones, action cameras, and/or IP Cameras
    • Research and take the technical development steps to complete features
    • Be a subject matter expert on Computer Vision with Visible and Infrared lighting
    • Be able to travel internationally
    • Have the right to work legally in the USA

Candidates should have the following at a minimum:

    • Bachelor's degree or equivalent experience in Computer Science, Engineering, Biology, or related field
    • 5 years of relevant work experience delivering Computer Vision for Consumer or Commercial products in a fast-paced environment
    • New Product Introduction (NPI) experience with consumer cameras or equivalent digital imaging - with at least one product shipped
    • Understanding of camera still and moving image capture
    • Extensive knowledge and experience deploying Image Processing Algorithms not based in Neural Networks (for example tuning existing implementations)
    • Understanding of how to map Computer Vision algorithms to Embedded Hardware (limited processing and memory)
    • Mapping Machine Learning Models based on Neural Networks to Embedded Hardware
    • Demonstrated experience recognizing scenes: Person, Animal, Package, etc.
    • Knowledge of industry availability of Computer Vision acceleration hardware in Image Sensors and SoCs
    • Ability to work in a self-directed manner with a thorough attention to detail

The following skills and experiences are also valued:

    • Advanced degree relevant to Computer and/or Human Vision
    • Published Image Processing and/or Machine Learning papers
    • Knowledge of the following: Computer Architecture (CPU, GPU, DSP, Memory, Caches, Storage Hierarchy), Optics, and converting GPU code to CPU with vectors/FP/SIMD support. 
    • Working knowledge of CMOS image sensors, their capabilities and limitations
    • Excellent written and verbal communication skills
$148,800 - $276,000 a year
Afero is an equal opportunity employer. All applicants will be considered for employment regardless of race, color, national origin, religion, sex, age, disability, sexual orientation, gender identity, veteran or disability status.
Full-time
Senior
Computer Vision