Netradyne
About this role
This is the senior variant of Netradyne's research engineering role, asking 9 or more years against the 5 or more on its Staff level twin, and the job descriptions are otherwise near identical. The domain is computer vision on the edge for commercial fleets: algorithms that watch driving in real time and flag unsafe behaviour, deployed into thousands of vehicles rather than kept in a notebook. The Analytics team it joins is described as drawn from the IITs, IISc, Stanford, UIUC and UCSD. The additional years buy scope rather than a different problem, since the responsibilities listed are the same. If you are between the two bars, apply to the Staff version instead, which we have also listed today.
Who this is for
The employer asks for 9 or more years of research or industry experience within computer vision and machine learning models. Netradyne writes this as "9+ yrs", abbreviated, a form automated parsers routinely miss, which is why it was read by hand here.
Required: a BTech, MTech or PhD in computer science, electrical engineering or a related area; in depth understanding of machine learning covering deep learning and classical ML, and of computer vision concepts; excellent programming skills in Python, which is required, with C++ desired; the ability to take abstract product concepts and turn them into reality; the ability to innovate on cutting edge problems without documented solutions; and hands on experience handling edge deployments across various hardware platforms.
Preferred: experience with time series data, camera calibration, multi view geometry, 3D reconstruction and SLAM, and road scene understanding covering objects and lanes.
The day to day: leading development of AI solutions that let drivers and fleets identify unsafe driving in real time, designing and commercialising driver monitoring and driver assistance algorithms, working with very large datasets, and deploying models into thousands of vehicles.
Location is Bangalore, and Netradyne's other current postings state onsite five days a week at Whitefield on a general shift, which is more office policy than most employers publish.
Good fit if you have close to a decade of computer vision work and want ownership of algorithms that ship to edge hardware at scale. If you have five to eight years, apply to the Staff Research Engineer posting instead: same team, same work, lower stated floor.
Required: a BTech, MTech or PhD in computer science, electrical engineering or a related area; in depth understanding of machine learning covering deep learning and classical ML, and of computer vision concepts; excellent programming skills in Python, which is required, with C++ desired; the ability to take abstract product concepts and turn them into reality; the ability to innovate on cutting edge problems without documented solutions; and hands on experience handling edge deployments across various hardware platforms.
Preferred: experience with time series data, camera calibration, multi view geometry, 3D reconstruction and SLAM, and road scene understanding covering objects and lanes.
The day to day: leading development of AI solutions that let drivers and fleets identify unsafe driving in real time, designing and commercialising driver monitoring and driver assistance algorithms, working with very large datasets, and deploying models into thousands of vehicles.
Location is Bangalore, and Netradyne's other current postings state onsite five days a week at Whitefield on a general shift, which is more office policy than most employers publish.
Good fit if you have close to a decade of computer vision work and want ownership of algorithms that ship to edge hardware at scale. If you have five to eight years, apply to the Staff Research Engineer posting instead: same team, same work, lower stated floor.
Apply on company site
Opens www.netradyne.com, the employer's own application page. Applying is always free.