Experience Requirements:

• 5+ years of physical design/verification experience

Other Requirements:

• Strong knowledge of block level and full-chip physical verification methodology

• Expert at optimizing for the best power/performance and area

• Experience with the complete physical design flow. Knowledge of Synopsys tool suite is a plus.

• Expert with ICV or Calibre tools resolving block and full-chip DRC and LVS issues

• Expert with IR/EM analysis and resolution

• Good understanding of full chip floorplanning and integration

• Strong ability in scripting languages like Tcl and Python. Ability to make flow enhancements

• Demonstrated ability to work with RTL teams to optimize for physical design

Responsibilities:

• synthesis, place and route of our most critical processing element blocks

• all aspects of physical design and implementation

• work closely with the RTL team and with full-chip integration of these blocks

Education Requirements:

• BS or MS in Computer Science or Electrical Engineering

Experience Requirements:

• 5 years of Design Verification experience

Other Requirements:

• Great debugging and problem-solving skills

• Deep knowledge of SystemVerilog testbench language, DPI and UVM

• Excellent programming skills and knowledge of software engineering practices including object-oriented design

• Experience developing scalable and portable testbenches and components

• Experience with verification methodologies and tools such as simulators, waveform viewers, build and run automation, coverage collection, gate level simulations

• Proficient in a scripting language such as Python or Perl

• Good interpersonal skills and ability & desire to work as a standout colleague are a must

• Extremely self-motivated and eager to solve problems

Responsibilities:

• Work with RTL designers and software engineers to ensure a high-quality design that works first silicon

• Develop detailed test and coverage plans based on the micro-architecture

• Create verification methodologies and reusable environments, including components such as stimulus, checkers, assertions, and coverage

• Write tests, manage regressions, gather coverage, and debug test failures

Benefits:

• Professional Growth

• Innovation

• Team Collaboration

Benefits:

• Professional Growth

• Innovation

• Team Collaboration

Benefits:

• Professional Growth

• Innovation

• Team Collaboration

Benefits:

• Professional Growth

• Innovation

• Team Collaboration

Benefits:

• Professional Growth

• Innovation

• Team Collaboration

Benefits:

• Professional Growth

• Innovation

• Team Collaboration

Benefits:

• Professional Growth

• Innovation

• Team Collaboration

Benefits:

• Professional Growth

• Innovation

• Team Collaboration

Benefits:

• Professional Growth

• Innovation

• Team Collaboration

Benefits:

• Professional Growth

• Innovation

• Team Collaboration

Experience Requirements:

• 4+ years of model training, deployment and maintenance in a production environment

• Strong skills in computer vision, NLP, or deep learning

• Solid background in algorithms, data structures, and object-oriented programming

• Strong programing skills in Python, experience in Tensorflow or PyTorch

Responsibilities:

• Model training

• Deployment and maintenance of models in production

• Working with large-scale video processing

• Cloud technology stack usage (AWS or GCP)

Experience Requirements:

• Developing front end website architecture and user interactions web pages

• Designing and developing APIs

• Experience building complex web products end-to-end in one of the frameworks(Angular, React.)

• Expertise working on all parts of the stack (frontend, backend)

• Familiarity with databases (e.g. Cassandra, MongoDB)

Responsibilities:

• Front end website architecture development

• User interaction web page development

• API design and development

• Building complex web products end-to-end

Experience Requirements:

• Ability to work independently, cooperatively, and collaboratively as a team member

• Strong sense of ownership, urgency, and drive

• Ability to handle ambiguity and changing priority

Responsibilities:

• Labeling machine learning data from customers

• Completing tasks in a timely manner, meeting SLA deadlines

• Post-process audits and review of video and tasks

• Working in-sync with Company to meet weekly goals

Experience Requirements:

• 4+ years

• 3+ years

• 8+ years

• 1-2

• 1 to 4 years

Experience Requirements:

• 1 to 3 years

Education Requirements:

• With desired skills

Benefits:

• A culture comprised of diverse, global teams who have a passion for collaboration and client service.

• A competitive salary and scope for further advancement

• State-of-the-art engineering solutions - working at Enterprise Bot is a refreshing mix of purpose, challenge, and fun

Experience Requirements:

• 2-3 years of experience in the fields of machine learning, deep learning, LLM-based models, NLP, and data science

Other Requirements:

• Strong skills in Python

• Hands-on experience in developing & running machine learning applications in production

• Familiarity with training and serving large language models in production

• Hands on experience in building and implementing advanced statistical analysis and machine learning and data mining

• Strong understanding of fundamentals of Computer Science

Responsibilities:

• The data scientist will be responsible for design and development of deep learning & LLM based models on unstructured and Structured Data.

• Will focus on not just on designing the algorithm but also on delivering it at scale.

• Will build and deploy deep learning techniques in production.

• Design and develop software modules that perform data ingest, data transform, and analytics tasks.

• Deliver customized solutions in a timely manner.

Benefits:

• Employee Wellness

• Education and Training

• Health Insurance

• Celebrating Achievements

• Work-Life Balance