
The bridge to possible.
Software Engineer
Required skills
Python
Docker
MongoDB
This is hybrid role with four days per week at Cisco's Yerevan office.
Meet The Team
Be part of an innovative group leading the way in hardware engineering and software automation. Our mission is to transform the hardware design lifecycle by integrating advanced, AI-driven solutions—eliminating manual bottlenecks and boosting productivity. Collaborating closely with ASIC designers and physical design teams, we accelerate technology delivery and set new standards for quality. Our culture is collaborative, forward-thinking, and driven by a passion for impactful technology. Join us and play a vital role in shaping the future of intelligent hardware design.
Your Impact
- Lead the transformation of hardware design by developing and deploying autonomous AI agents in complex design environments.
- Identify and automate manual processes, driving improvements in design health, verification, and documentation workflows.
- Build scalable frameworks that enable multiple AI agents to collaborate on high-value engineering tasks.
- Translate hardware requirements into actionable prompts and agentic logic, ensuring seamless interaction between software and hardware teams.
- Mentor and guide engineers in adopting AI-first practices, amplifying the organizational impact of AI solutions.
Minimum Qualifications
- 3+ years of software development experience.
- Python expertise in building tools, integrating APIs, and designing scalable systems.
- Strong ability to explain complex issues to cross-functional teams.
- Fluency in English, both written and spoken language.
Preferred Qualifications
- Hands-on experience working with LLM APIs and building agentic workflows.
- Experience with industry-standard scripting languages (such as TCL, Perl, or Shell) to integrate AI into legacy environments.
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related technical field.
- Experience with backend development.
- Familiarity with Docker or Podman for deploying microservices.
- Experience with database systems such as MySQL and MongoDB for data visualization.
- Domain knowledge of the RTL-to-GDS flow and the ASIC design lifecycle.
Why Cisco?
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
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About Cisco

Cisco
PublicCisco Systems, Inc. is an American multinational technology conglomerate corporation that develops, manufactures, and sells hardware, software, telecommunications equipment and other high-technology services and products focused on networking, cyber security and AI.
10,001+
Employees
San Jose
Headquarters
$317B
Valuation
Reviews
10 reviews
4.3
10 reviews
Work-life balance
3.5
Compensation
4.2
Culture
4.6
Career
3.8
Management
4.0
78%
Recommend to a friend
Pros
Supportive and friendly team culture
Flexible work arrangements and remote options
Excellent benefits and competitive compensation
Cons
High-pressure and demanding work environment
Work-life balance challenges
Limited career advancement opportunities
Salary Ranges
0 data points
L2
L6
L3
L4
L5
L2 · Security L2
0 reports
$108,550
total per year
Base
$43,420
Stock
$54,275
Bonus
$10,855
$75,985
$141,115
Interview experience
4 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 25%
Negative 75%
Interview process
1
Application Review
2
Phone Screen
3
Technical Interview Round 1
4
Technical Interview Round 2
5
Behavioral Interview
6
Team Matching
7
Final Round
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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