5 min
Graphics Software Intern
A graphics software intern will work for the Core and Visual Computing Group (CVCG) and will be part of the team that is responsible for the architecture, design and development of the CPU core and visual technologies that are crucial to Intel's system-on-a-chip (SoC) products and key to our datacenter, client and IoT platforms. Requirements- Pursuing a Master's degree in Computer Science or relevant engineering areas.
- C, Python
Computer Vision Engineer
A CVE will be implementing deep learning CV algorithms, to solve Automotive, Security and Surveillance, Retail, Robotics, Industrial problems. Will be programming, debugging, testing, validation, documentation and/or deployment of the solution/products along with engineering computing frameworks Requirements- Master’s or Bachelor’s degree in Electrical/ECE/Computer Engineering from a reputed university with strong fundamentals in VLSI, Computer architecture, machine learning.
- Coursework in computer architecture with significant project experience in design and verification of logic blocks desired.
- Strong programming fundamentals with project work in C/C, Verilog, scripting languages.
Pre-Silicon Verification Engineer
When was the last time you heard such a cool-sounding job? An IP Verification Engineer is responsible for verification of Machine learning accelerator IPs and creating a test plan for Accelerator IP based on ML Algorithms. And, also develop components like BFMs, Scoreboards, Checkers and integrating them which are used for verification. Creating directed and random tests using Systemverilog randomization and conducting automated validation using scripts is also part of the job. Requirements- Bachelor's or Master's degree in EEE, ECE or CSE, or equivalent with 3 to 6 years of experience in verification.
- Image processing, Machine learning algorithms.
- Perl/Tcl.
- Strong knowledge in Systemverilog, constraint random stimulus generation, SV Assertions and Verification concepts.
- Hands-on experience in Functional coverage implementation and analysis.
- Experience using OVM/UVM methodologies and any of the bus protocols like AHB, AXI, OCP etc.
Deep Learning Software Engineer
The job requires the candidate to design, develop & optimize for deep learning training and inference frameworks. Implement model/data parallel frameworks, parameter servers, data flow based asynchronous data communication in deep learning frameworks and transform computational graph representation of a neural network model. Develop deep learning primitives in math libraries. Requirements- Master’s or Bachelor's degree in Electrical/ECE/Computer Engineering from a reputed university with strong fundamentals in VLSI, Computer architecture, machine learning.
- Coursework in computer architecture with significant project experience in design and verification of logic blocks desired.
- Strong programming fundamentals with project work in C/C++, Verilog, scripting languages.
Machine Learning SW Architect
ML Architect plays a key role in building products/solutions, which provide descriptive, diagnostic, predictive, or prescriptive models based on data by using machine learning algorithms which requires decent understanding of supervised and unsupervised learning, deep learning, reinforcement learning, Bayesian analysis and others, to solve applied problems in various disciplines such as Data Analytics, Computer Vision, Robotics, etc and hence requires relevant experience. Requirements- Masters or PhD in Computer Science or closely related areas with 12 years of experience
- Strong base in ML/DL algorithms
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