A bit about us:
Based in San Jose, CA, we are the #1 leading developer of state-of-the-art camera video processors! We have been named the design company of 2018 by Semiconductor TODAY magazine for the automotive and consumer industries. Backed by over 120 patents we have invested in our long-term success by committing to the development of the future, big-name clients such as Lexus, Audi, and Ferrari.
Why join us?
- Competitive Base Salary
- Extremely Competitive Full Benefits Package
- Flexible Work Schedules
- Accelerated Career Growth
Job Details
DSP engineer, algorithm development, computer vision, Machine learning,
Strong with C, C++, embedded programming python, image/video processing
Onsite in Toronto, Canada
Full job description is listed below.
KEY QUALIFICATIONS
M.S., Ph.D. in Computer Science or a related field (Mathematics, Statistics, Physics or Electrical and/or Computer engineering).
5+ years of industry experience with a strong focus on image processing, machine learning and in applying both well established and latest techniques to real world problems.
Strong analytical and problem solving skills.
Strong DSP background, with hands-on experience in building embedded algorithms and applications:
o Computer Vision – Object Detection/Recognition, scene/structure understanding.
o Machine Learning/Pattern Recognition – Classification, Regression.
o Image and video processing.
Experience with Deep Learning techniques (CNNs, RNNs).
Familiarity with popular tools and packages like Caffe, PyTorch, TensorFlow, etc.
Strong background in mathematics and/or statistics is highly desirable.
Demonstrated ability in both research and development.
Intermediate to expert C and C++ coding skills.
Proficiency in command-line tools and scripting.
Experience in signal processing and other related applied engineering fields a plus.
Ability to work hands-on in cross-functional teams with a strong sense of self-direction.
Ability to explain and present hypotheses and analysis results to a wide audience in a clear and concise manner.
Ability to work independently and in a team to research innovative solutions to challenging business/technical problems.
Proficiency and experience in these languages/tools: Python, Matlab, OpenCV, TensorFlow, GPGPU (Cuda/OpenCL).
Strong with C, C++, embedded programming python, image/video processing
Onsite in Toronto, Canada
Full job description is listed below.
KEY QUALIFICATIONS
M.S., Ph.D. in Computer Science or a related field (Mathematics, Statistics, Physics or Electrical and/or Computer engineering).
5+ years of industry experience with a strong focus on image processing, machine learning and in applying both well established and latest techniques to real world problems.
Strong analytical and problem solving skills.
Strong DSP background, with hands-on experience in building embedded algorithms and applications:
o Computer Vision – Object Detection/Recognition, scene/structure understanding.
o Machine Learning/Pattern Recognition – Classification, Regression.
o Image and video processing.
Experience with Deep Learning techniques (CNNs, RNNs).
Familiarity with popular tools and packages like Caffe, PyTorch, TensorFlow, etc.
Strong background in mathematics and/or statistics is highly desirable.
Demonstrated ability in both research and development.
Intermediate to expert C and C++ coding skills.
Proficiency in command-line tools and scripting.
Experience in signal processing and other related applied engineering fields a plus.
Ability to work hands-on in cross-functional teams with a strong sense of self-direction.
Ability to explain and present hypotheses and analysis results to a wide audience in a clear and concise manner.
Ability to work independently and in a team to research innovative solutions to challenging business/technical problems.
Proficiency and experience in these languages/tools: Python, Matlab, OpenCV, TensorFlow, GPGPU (Cuda/OpenCL).
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
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By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy