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Sw Engineering Technical Leader jobs at Cisco in United States, Milpitas
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United States
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Milpitas
25 jobs found
28.07.2025
C
Cisco Software Engineering Technical Leader Backend Development United States, California, Milpitas
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Bachelor's degree in a STEM field with 8+ years of experience, Master's degree in STEM field with 6+ years of experience or PhD in STEM field with 3+ years of...
Description:
Note: This is a hybrid role working on-site a minimum of 3 days a week in the Milpitas, CA office.
YOUR IMPACT
You will play a pivotal role in shaping the future of AI infrastructure. As part of our team, you’ll thrive in an autonomous, engineer-led culture where developers drive innovation and deliver an exceptional customer experience. You’ll contribute to the design and implementation of a product in its formative stage of development and growth.
Your work will help redefine how data infrastructure is built and operated for years to come. You'll be working at the forefront of technology in an organization that values developer experience, well-being, and efficiency — all within a supportive, hands-off leadership environment. By delivering seamless, scalable solutions, you’ll empower our customers to scale their infrastructure quickly, cost-effectively, and with confidence—all while driving innovation and shaping the future of AI infrastructure.
MINIMUM QUALIFICATIONS
- Bachelor's degree in a STEM field with 8+ years of experience, Master's degree in STEM field with 6+ years of experience or PhD in STEM field with 3+ years of experience
- Experience programming with Go, Java, C/C++, and/or Python
- Experience with microservices software architecture and large-scale distributed systems
- Experience with data structures, algorithms, and software design
- Experience working with Web technologies like Amazon Web Services, Google Cloud, or/and Azure
PREFERRED QUALIFICATIONS
- Experience with Virtualized applications and their Orchestration using Kubernetes, Docker etc.
- Experience with Data Center Networking
- Understanding of AI/ML and GenAI concepts
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27.07.2025
C
Cisco Software Engineering Technical Leader United States, California, Milpitas
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Collaborate with cross-functional teams to design and implement machine learning models and algorithms for audio processing, analysis, and enhancement. Train, validate, and fine-tune machine learning models for various applications. Evaluate...
Description:
Key Responsibilities:
- Collaborate with cross-functional teams to design and implement machine learning models and algorithms for audio processing, analysis, and enhancement.
- Train, validate, and fine-tune machine learning models for various applications.
- Evaluate and benchmark the performance of machine learning models using appropriate metrics and statistical techniques.
- Collaborate with software engineers to integrate machine learning algorithms into audio software products and ensure seamless functionality and performance.
- Debug and solve issues related to machine learning algorithms and audio software applications.
- Document software development processes, algorithms, and experiments, and communicate findings and recommendations to the team effectively.
- Ph.D. in relevant field with 0+ years or Masters in relevant field with 3+ years of experience in developing and deploying machine learning models for audio related applications.
- Must have Strong programming skills in Python and Matlab, with experience in audio processing libraries (e.g., librosa, torch audio, or similar).
- Must understand machine learning techniques, including deep learning architectures (e.g., CNNs, RNNs, GANs) and relevant frameworks (e.g., PyTorch).
- Must be proficiency in data preprocessing, feature extraction, and data augmentation techniques for audio.
- Expected to have strong problem-solving skills and ability to think creatively to devise innovative solutions to audio-related challenges is required.
- Familiarity with audio signal processing concepts, such as Fourier analysis, spectral modeling, and time-frequency representations is essential.
We tackle whatever challenges come our way. We have each other’s backs, we recognize our accomplishments, and we grow together. We celebrate and support one another – from big and small things in life to big career moments. And giving back is in our DNA (we get 10 days off each year to do just that).
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27.07.2025
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Cisco Software Engineer Technical Leader United States, California, Milpitas
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Lead the design, development, and deployment of software solutions leveraging SONiC to interface with hardware infrastructure and platform-level components. Develop and maintain platform adaptation layers for seamless integration between SONiC...
Description:
Your Impact
You will be working among engineers who are passionate about tackling complex technology, building large-scale distributed systems and comfortable working with open-source communities and technologies. You will be part of a fast-paced work environment and responsible for end-to-end product development and production support.
Your Impact
Software Development & Integration:
- Lead the design, development, and deployment of software solutions leveraging SONiC to interface with hardware infrastructure and platform-level components.
- Develop and maintain platform adaptation layers for seamless integration between SONiC and underlying hardware (e.g., ASICs, BMC, and other platform elements).
- Collaborate with hardware teams to enable optimal hardware-software interactions and expose hardware capabilities through SONiC interfaces.
- Write, review, and optimize code for critical system modules, drivers, and APIs supporting high-performance data planes and control planes.
- System Architecture and Design:
- Define the technical architecture to integrate SONiC with platform infrastructure, ensuring scalability and high availability.
- Design robust interfaces between SONiC and platform-specific management/control modules (e.g., telemetry, diagnostics, and security components).
- Lead efforts to optimize resource utilization, power efficiency, and operational stability of the network platform.
- Leadership and Mentorship:
- Provide technical direction to the development team, mentoring junior and mid-level engineers on software engineering best practices and advanced networking concepts.
- Coordinate cross-functional activities between software, hardware, QA, and systems integration teams.
- Drive code reviews, technical discussions, and issue resolution to ensure timely and quality deliverables.
- Collaboration and Stakeholder Engagement:
- Act as a key liaison with open-source SONiC communities, contributing to upstream development and leveraging community innovations.
- Collaborate with product management and customers to understand use cases, gather requirements, and align deliverables with business objectives.
- Lead the evaluation and adoption of new tools, technologies, and methodologies to accelerate development and testing cycles.
- Bachelor’s degree in Electrical Engineering, Computer Science, or a related field and 10+ years of experience in software development within the networking or telecommunication industry
- Experience in C, C++, Python, bash scripting, Linux based platforms or other like network operating systems such as SONiC
- Experience with platform infrastructure such as ASIC drivers, BMC, and network OS development
- Experience with virtualization, containerization, and orchestration frameworks such as Docker, Kubernetes and/or similar
- Experience leading teams or technical projects in a software development environment
- Experience in CI/CD pipelines and automated testing frameworks
- Experience with platform level security requirements and compliance frameworks
- Understanding of telemetry systems and software-defined networking (SDN)
- Exposure to SONiC or experience working with the SONiC open-source community
- Knowledge of hardware abstraction layers and SDKs from major networking silicon providers (such as Broadcom, Marvell, Mellanox etc)
- Experience with Optics/Serdes/ANLT technologies
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14.07.2025
C
Cisco Senior Technical Lead Software QA United States, California, Milpitas
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Design and develop comprehensive test plans and strategies for complex, large-scale AI-driven features and systems. Address unique challenges in building effective test strategies for enterprise-grade AI platforms and software applications....
Description:
Accepting applications until 7/25/2025
Your ImpactAs a Quality Assurance Technical Leader for our AI Software & Platform team you will play a vital role in ensuring the quality and reliability of our Generative AI products. Your expertise in designing robust testing frameworks, establishing quality standards, and driving automation strategies across service boundaries will be essential for the success of our product. As a key leader of our team, you will be responsible for defining and implementing quality assurance strategies for our Generative AI products. Your role will involve understanding the operations of each AI service, designing comprehensive testing processes that validate their seamless integration, and ensuring the appropriate tools and metrics are in place. Your work will be instrumental in delivering a high-quality and dependable solution to our customers.
- Design and develop comprehensive test plans and strategies for complex, large-scale AI-driven features and systems.
- Address unique challenges in building effective test strategies for enterprise-grade AI platforms and software applications.
- Collaborate closely with multi-functional teams, including data scientists, machine learning engineers, and software developers, to achieve shared quality objectives.
- Design, implement, and continuously improve test automation frameworks for AI pipelines, APIs, and user interfaces to enhance QA team productivity and efficiency.
- Develop and maintain test automation tools for validating both AI models (e.g., model performance, accuracy, and robustness) and platform components (e.g., backend systems and UI).
- Define, develop, and manage complex test environments, including datasets and model versions, to support diverse AI testing scenarios.
- Enhance test automation frameworks to ensure they are developer-friendly, robust, and scalable, with support for detailed reporting, easy debugging, and seamless integration with CI/CD pipelines, test case management systems and bug tracking systems.
- Contribute to product decisions by providing insights into the quality of AI models, data integrity, and platform stability, influencing the development of cutting-edge AI solutions.
- Analyze complex issues, such as model performance degradation or system failures, and lead root cause analysis to improve reliability.
- Partner with engineering, product management, UX, documentation, DevOps, and customer engineering teams throughout the product lifecycle, from requirements capturing to release.
- Define and implement processes to capture customer feedback and build feedback loops to improve AI model quality, data accuracy, and platform user satisfaction.
- Set a strong example of quality-first practices and technical excellence in testing AI systems and platforms.
- Mentor and coach junior QA team members, emphasizing AI testing best practices, fostering accountability, and promoting continuous learning.
- Demonstrate effective communication skills in multi-functional interactions, ensuring clarity when discussing AI testing challenges and quality outcomes.
- A minimum of 10 years of experience in QA roles, with a focus on enterprise-scale systems or high-growth environments.
- Proficiency in Python programming, with expertise in additional languages considered an advantage.
- Familiarity with and ability to adapt to modern tools and frameworks such as Pytest, Playwright, Selenium or similar.
- Practical experience using backend and frontend testing frameworks, with a passion for improving test automation coverage and infrastructure.
- Strong diagnostic and debugging abilities, paired with experience in creating and maintaining automation pipelines and test utilities.
- Demonstrated success in collaborating with cross-functional teams to address issues, implement solutions, and ensure quality deliverables.
- Excellent communication and interpersonal skills, with a team-oriented approach and a commitment to ownership and accountability.
- Bachelor’s or master’s degree or equivalent experience in computer science or a related field is required.
- Bachelor’s or master’s degree or equivalent experience in computer science
- Prior experience working with generative AI technologies or AI/ML platforms
- Consistent track record in leading quality assurance efforts for distributed systems and cloud-based SaaS products.
- Experience designing and building advanced test frameworks from the ground up, prioritizing scalability and performance.
- Deep knowledge of test strategy development for complex systems, especially large-scale AI/ML or platform-based solutions.
- Knowledge of compliance standards.
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13.07.2025
C
Cisco Senior Technical Lead Software QA United States, California, Milpitas
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Design and develop comprehensive test plans and strategies for complex, large-scale AI-driven features and systems. Address unique challenges in building effective test strategies for enterprise-grade AI platforms and software applications....
Description:
Accepting applications until 7/25/2025
Your ImpactAs a Quality Assurance Technical Leader for our AI Software & Platform team you will play a vital role in ensuring the quality and reliability of our Generative AI products. Your expertise in designing robust testing frameworks, establishing quality standards, and driving automation strategies across service boundaries will be essential for the success of our product. As a key leader of our team, you will be responsible for defining and implementing quality assurance strategies for our Generative AI products. Your role will involve understanding the operations of each AI service, designing comprehensive testing processes that validate their seamless integration, and ensuring the appropriate tools and metrics are in place. Your work will be instrumental in delivering a high-quality and dependable solution to our customers.
- Design and develop comprehensive test plans and strategies for complex, large-scale AI-driven features and systems.
- Address unique challenges in building effective test strategies for enterprise-grade AI platforms and software applications.
- Collaborate closely with multi-functional teams, including data scientists, machine learning engineers, and software developers, to achieve shared quality objectives.
- Design, implement, and continuously improve test automation frameworks for AI pipelines, APIs, and user interfaces to enhance QA team productivity and efficiency.
- Develop and maintain test automation tools for validating both AI models (e.g., model performance, accuracy, and robustness) and platform components (e.g., backend systems and UI).
- Define, develop, and manage complex test environments, including datasets and model versions, to support diverse AI testing scenarios.
- Enhance test automation frameworks to ensure they are developer-friendly, robust, and scalable, with support for detailed reporting, easy debugging, and seamless integration with CI/CD pipelines, test case management systems and bug tracking systems.
- Contribute to product decisions by providing insights into the quality of AI models, data integrity, and platform stability, influencing the development of cutting-edge AI solutions.
- Analyze complex issues, such as model performance degradation or system failures, and lead root cause analysis to improve reliability.
- Partner with engineering, product management, UX, documentation, DevOps, and customer engineering teams throughout the product lifecycle, from requirements capturing to release.
- Define and implement processes to capture customer feedback and build feedback loops to improve AI model quality, data accuracy, and platform user satisfaction.
- Set a strong example of quality-first practices and technical excellence in testing AI systems and platforms.
- Mentor and coach junior QA team members, emphasizing AI testing best practices, fostering accountability, and promoting continuous learning.
- Demonstrate effective communication skills in multi-functional interactions, ensuring clarity when discussing AI testing challenges and quality outcomes.
- A minimum of 10 years of experience in QA roles, with a focus on enterprise-scale systems or high-growth environments.
- Proficiency in Python programming, with expertise in additional languages considered an advantage.
- Familiarity with and ability to adapt to modern tools and frameworks such as Pytest, Playwright, Selenium or similar.
- Practical experience using backend and frontend testing frameworks, with a passion for improving test automation coverage and infrastructure.
- Strong diagnostic and debugging abilities, paired with experience in creating and maintaining automation pipelines and test utilities.
- Demonstrated success in collaborating with cross-functional teams to address issues, implement solutions, and ensure quality deliverables.
- Excellent communication and interpersonal skills, with a team-oriented approach and a commitment to ownership and accountability.
- Bachelor’s or master’s degree or equivalent experience in computer science or a related field is required.
- Bachelor’s or master’s degree or equivalent experience in computer science
- Prior experience working with generative AI technologies or AI/ML platforms
- Consistent track record in leading quality assurance efforts for distributed systems and cloud-based SaaS products.
- Experience designing and building advanced test frameworks from the ground up, prioritizing scalability and performance.
- Deep knowledge of test strategy development for complex systems, especially large-scale AI/ML or platform-based solutions.
- Knowledge of compliance standards.
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These jobs might be a good fit
13.07.2025
C
Cisco Senior Technical Lead Software QA United States, California, Milpitas
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Design and develop comprehensive test plans and strategies for complex, large-scale AI-driven features and systems. Address unique challenges in building effective test strategies for enterprise-grade AI platforms and software applications....
Description:
Accepting applications until 7/25/2025
Your ImpactAs a Quality Assurance Technical Leader for our AI Software & Platform team you will play a vital role in ensuring the quality and reliability of our Generative AI products. Your expertise in designing robust testing frameworks, establishing quality standards, and driving automation strategies across service boundaries will be essential for the success of our product. As a key leader of our team, you will be responsible for defining and implementing quality assurance strategies for our Generative AI products. Your role will involve understanding the operations of each AI service, designing comprehensive testing processes that validate their seamless integration, and ensuring the appropriate tools and metrics are in place. Your work will be instrumental in delivering a high-quality and dependable solution to our customers.
- Design and develop comprehensive test plans and strategies for complex, large-scale AI-driven features and systems.
- Address unique challenges in building effective test strategies for enterprise-grade AI platforms and software applications.
- Collaborate closely with multi-functional teams, including data scientists, machine learning engineers, and software developers, to achieve shared quality objectives.
- Design, implement, and continuously improve test automation frameworks for AI pipelines, APIs, and user interfaces to enhance QA team productivity and efficiency.
- Develop and maintain test automation tools for validating both AI models (e.g., model performance, accuracy, and robustness) and platform components (e.g., backend systems and UI).
- Define, develop, and manage complex test environments, including datasets and model versions, to support diverse AI testing scenarios.
- Enhance test automation frameworks to ensure they are developer-friendly, robust, and scalable, with support for detailed reporting, easy debugging, and seamless integration with CI/CD pipelines, test case management systems and bug tracking systems.
- Contribute to product decisions by providing insights into the quality of AI models, data integrity, and platform stability, influencing the development of cutting-edge AI solutions.
- Analyze complex issues, such as model performance degradation or system failures, and lead root cause analysis to improve reliability.
- Partner with engineering, product management, UX, documentation, DevOps, and customer engineering teams throughout the product lifecycle, from requirements capturing to release.
- Define and implement processes to capture customer feedback and build feedback loops to improve AI model quality, data accuracy, and platform user satisfaction.
- Set a strong example of quality-first practices and technical excellence in testing AI systems and platforms.
- Mentor and coach junior QA team members, emphasizing AI testing best practices, fostering accountability, and promoting continuous learning.
- Demonstrate effective communication skills in multi-functional interactions, ensuring clarity when discussing AI testing challenges and quality outcomes.
- A minimum of 10 years of experience in QA roles, with a focus on enterprise-scale systems or high-growth environments.
- Proficiency in Python programming, with expertise in additional languages considered an advantage.
- Familiarity with and ability to adapt to modern tools and frameworks such as Pytest, Playwright, Selenium or similar.
- Practical experience using backend and frontend testing frameworks, with a passion for improving test automation coverage and infrastructure.
- Strong diagnostic and debugging abilities, paired with experience in creating and maintaining automation pipelines and test utilities.
- Demonstrated success in collaborating with cross-functional teams to address issues, implement solutions, and ensure quality deliverables.
- Excellent communication and interpersonal skills, with a team-oriented approach and a commitment to ownership and accountability.
- Bachelor’s or master’s degree or equivalent experience in computer science or a related field is required.
- Bachelor’s or master’s degree or equivalent experience in computer science
- Prior experience working with generative AI technologies or AI/ML platforms
- Consistent track record in leading quality assurance efforts for distributed systems and cloud-based SaaS products.
- Experience designing and building advanced test frameworks from the ground up, prioritizing scalability and performance.
- Deep knowledge of test strategy development for complex systems, especially large-scale AI/ML or platform-based solutions.
- Knowledge of compliance standards.
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30.06.2025
C
Cisco Technical Marketing Engineer United States, California, Milpitas
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Articulate anddemonstratethe value of ourEdge. Deliver compelling presentations, product demos, and proof-of-concept workshops toshowcasereal-world capabilities. Collaborate with Product Management and Engineering to shape the product roadmap and integrate customer feedback...
Description:
The application deadline is expected to close on July 1, 2025.
committed to shaping the future of secure, intelligent connectivity. As a global technology leader, we continue to innovate across networking, security, and cloud to help organizations stay ahead in a rapidly evolving digital landscape.
Secure WANsolutions that redefinepossible at the network edge.capabilities that keep their operations protected and agile.
looking for ato help drive the success of the. In this role,play a key part in shaping the adoption of our most advanced security and networking platforms.
setting the standard for secure networking—love to hear from you.
Your Impact
security portfolio.
and help deliver intuitive, secure, and scalable solutions that protect and empower modern enterprises.
You will:
Articulate anddemonstratethe value of ourEdge
Deliver compelling presentations, product demos, and proof-of-concept workshops toshowcasereal-world capabilities.
Collaborate with Product Management and Engineering to shape the product roadmap and integrate customer feedback into future releases.
Partner with Sales and Channel teams to provide expert technical support and drive field enablement.
Develop high-impact technical content, including training materials and best practices, for customers, partners, and internal teams.
Minimum Qualifications
- “Bachelor’s degreewith5+ yearsof experience”or“Master’sdegreewith3+ years of experience”in Technical Marketing, Engineering, QA, or Network Security roles.
- Experiencein network security technologies, including NGFW, IPSec, DDoS protection, malware detection, and encryption.
- Experiencewith routing technologies such as SD-WAN and protocols like BGP, OSPF, and EIGRP.
Preferred Qualifications
- Proven ability to translate complex technical concepts into clear, actionable insights for cross-functional teams including sales, marketing, engineering, and customers.
- Solid understanding of cloud environments (SaaS & IaaS); relevant certifications in cloud, security, or AI are a plus.
- Demonstrated experience collaborating across teams to drive customer adoption programs,PoCs, or beta trials.
- Passion foridentifyingcustomer pain points and shaping product features that deliver business value.
- Ability to work independently and communicate effectively across multiple time zones.
set of backgroundsand focus on unlocking potential.
. One-third of80 hours
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Bachelor's degree in a STEM field with 8+ years of experience, Master's degree in STEM field with 6+ years of experience or PhD in STEM field with 3+ years of...
Description:
Note: This is a hybrid role working on-site a minimum of 3 days a week in the Milpitas, CA office.
YOUR IMPACT
You will play a pivotal role in shaping the future of AI infrastructure. As part of our team, you’ll thrive in an autonomous, engineer-led culture where developers drive innovation and deliver an exceptional customer experience. You’ll contribute to the design and implementation of a product in its formative stage of development and growth.
Your work will help redefine how data infrastructure is built and operated for years to come. You'll be working at the forefront of technology in an organization that values developer experience, well-being, and efficiency — all within a supportive, hands-off leadership environment. By delivering seamless, scalable solutions, you’ll empower our customers to scale their infrastructure quickly, cost-effectively, and with confidence—all while driving innovation and shaping the future of AI infrastructure.
MINIMUM QUALIFICATIONS
- Bachelor's degree in a STEM field with 8+ years of experience, Master's degree in STEM field with 6+ years of experience or PhD in STEM field with 3+ years of experience
- Experience programming with Go, Java, C/C++, and/or Python
- Experience with microservices software architecture and large-scale distributed systems
- Experience with data structures, algorithms, and software design
- Experience working with Web technologies like Amazon Web Services, Google Cloud, or/and Azure
PREFERRED QUALIFICATIONS
- Experience with Virtualized applications and their Orchestration using Kubernetes, Docker etc.
- Experience with Data Center Networking
- Understanding of AI/ML and GenAI concepts
Show more
These jobs might be a good fit
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