Software Engineer - US

6h ago

Cisco

Full-time$44,000.00 - $185,000.00

Job Overview

This listing is for a Software Engineer Embedded Systems I (Co-op) - United States position. Work is on-site, and the arrangement is listed as full-time. For salary, the listing states Rs 0. Skills mentioned in the listing include Git and GitHub, Python and Artificial Intelligence. The listing is aimed at the following profile: 40 years. For general context: Git tracks code changes so teams can work on the same project without overwriting each other. Artificial intelligence is increasingly part of everyday software products. Interested candidates can review the full details below and apply using the link provided on this page.

★ Git and GitHub: Tracking changes, working on branches, opening pull requests and resolving conflicts so a team can share code safely.
★ Python: Writing readable scripts and backend or data code using Python's standard library and common packages.
★ Artificial Intelligence: A general understanding of how AI systems learn from data, where they are useful, and where they can be unreliable.

★ Git and GitHub: branching and merging, pull requests and code review, resolving merge conflicts
★ Python: core data structures, functions and modules, virtual environments and pip
★ Artificial Intelligence: supervised versus unsupervised learning, common real-world use cases, limitations and bias

This role may be suitable for candidates who match the skills and experience described in the requirements. Applicants with working knowledge of Git and GitHub, Python and Artificial Intelligence may feel well prepared for what the listing describes. Because the work is on-site, applicants who can reach the workplace regularly may find it more practical. This is editorial guidance only, and the employer makes the final decision on suitability.

Applicants may want to highlight relevant experience with Git and GitHub, Python and Artificial Intelligence in their CV. Because version control is mentioned, a GitHub profile with a few well-described repositories can make your skills easier to verify. If you have used AI tools or built small projects with language models, briefly describe what you built and how you checked the results. Keep your CV to the point and tailor the summary to this role rather than sending a generic version. These are general tips, not requirements stated by the employer.

These suggested questions can help you prepare for an interview by focusing on the skills, responsibilities, and technical areas relevant to this role. They are for preparation only and are not confirmed employer questions.
Q: What is the difference between git merge and git rebase, and when would you use each?
Q: How do decorators and generators work in Python?
Q: How would you explain the difference between traditional programming and machine learning to a non-technical person?
Q: How do you resolve a merge conflict in a shared repository?
Q: How do lists, tuples, sets, and dictionaries differ in Python, and when would you use each?
Q: Where could AI add value to a typical web application, and what risks should you plan for?
Q: This role is based on-site. How do you collaborate with teammates in an office setting, and what does your availability look like?
Q: Which project are you most proud of, and what part of it did you personally build?

Interested Candidates Fill the Application Form: