Senior Staff Engineer - AI ADC
ThreatX
San Jose, CA · $180k–$195k a year · Posted October 15, 2026
Just laid off? Start here: a plan for the first weeks
More in California job market · All Senior Staff Engineer jobs (107) · Technology & Software · Data & Analytics jobs
Similar jobs
- #Machine Learning Engineer - Generative AI · Qualcomm Technologies · San Diego, CA
- Developer Relations Manager, Higher Education and Research - Foundational AI · Nvidia · Santa Clara, CA
- Computer Scientist (Ph.D.) · Exponent · Menlo Park, CA
- Electrical Engineer/Scientist/Computer Scientist (Ph.D.) · Exponent · Los Angeles, CA
- Principal Forecasting and Planning - AI Annotation Program · Intuit · San Diego, CA
- Staff People Analyst - Applied AI · Intuit · Mountain View, CA
Where San Jose, CA ranks
Where San Jose, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for marketing pay after cost of living$204k · of 16
- #1Best cities for aerospace and defense pay after cost of living$187k · of 19
- #2Best cities for security pay after cost of living$220k · of 10
- #3Best cities for technology pay after cost of living$205k · of 80
- #5Best cities for technology jobs1,449 openings · of 100
- #5Cities with the most jobs that do not need a four-year degree in the West Coast162 jobs · of 47
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
Pay compared with the market
This listing pays about $187,500 a year. Across 46 open senior staff engineer listings that state pay, the middle half runs $219,500 to $265,000 and the median is $240,000. That is 22% below the median, below the middle half of those listings.
Listed pay is what employers advertise, not what people are paid.
Senior Staff Engineer salaries by state · Check your own pay
How AI is used in this kind of work
Among computer and information research scientists, AI is already used for a large share of the tasks. Measured exposure for computer and information research scientists: 34% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
Senior Staff Engineer - ACOS ADC Platform A10 Networks is seeking a highly experienced Senior Staff Engineer to drive the architecture, design, and development of the ACOS Application Delivery Controller (ADC) platform . This role will contribute to the evolution of core ADC capabilities including server load balancing, SSL/TLS processing, application traffic management, GSLB, observability, automation, cloud integration, and platform scalability.
The ideal candidate possesses deep expertise in networking, distributed systems, and high-performance traffic processing, and can lead complex technical initiatives from concept through delivery. The role requires close collaboration with product management, engineering teams, customer-facing organizations, and platform architects to define and implement next-generation ADC capabilities.
Key Responsibilities
Lead architecture, design, and development of core ACOS ADC capabilities on data plane
Design and enhance Layer 4 to Layer 7 traffic management features, including: Server Load Balancing (SLB)
Global Server Load Balancing (GSLB)
SSL/TLS offload and optimization
Content switching and traffic steering
Health monitoring and service discovery
High Availability (HA) and clustering
Develop scalable and high-performance traffic processing solutions for physical, virtual, containerized, and cloud deployments.
Define and implement platform architecture for configuration management, distributed state synchronization, orchestration, and automation.
Optimize system performance, throughput, latency, resource utilization, and scalability across large-scale customer deployments.
Collaborate with product management and field teams to translate customer requirements into robust product capabilities.
Engage on customer escalations
Mentor engineers and provide technical leadership on networking, performance engineering, software architecture, and debugging methodologies.
Ensure product quality through design reviews, benchmarking, performance testing, security reviews, and operational excellence practices.
Contribute to technical strategy and long-term evolution of the ACOS platform
Required Qualifications
Education
Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field.
Master's degree preferred
Technical Skills
Deep expertise in Layer 4 through Layer 7 networking technologies, including:
TCP/IP
UDP
TLS/SSL
HTTP/1.1, HTTP/2, HTTP/3
QUIC
DNS
Routing and switching fundamentals
Strong understanding of ADC technologies such as: Server Load Balancing
Global Server Load Balancing
Application traffic management
Health monitoring
Content switching
Rate limiting and traffic shaping
Strong software development and debug expertise in: C/C++
Linux systems programming
Multithreaded and concurrent software design
Experience developing high-performance networking or distributed systems software
Strong debugging and performance analysis skills using tools such as: GDB
Perf
Wireshark
System profiling and tracing tools
Strong understanding of software architecture, design patterns, scalability, resiliency, and fault tolerance
Proven ability to lead complex technical initiatives from architecture through production deployment
Leadership Skills
Demonstrated technical leadership across multiple teams and projects.
Strong design, communication, collaboration, and mentoring skills.
Ability to influence technical direction and drive consensus among stakeholders.
Preferred Qualifications
The following qualifications are preferred:
Experience with AI, and Machine Learning technologies.
Knowledge of AI inference workloads, model serving architectures, and LLM ecosystems
Experience applying ML techniques to operational analytics, anomaly detection, traffic analysis, or capacity forecasting
Familiarity with AI gateways, API gateways, or intelligent traffic management systems
Exposure to vector databases, model registries, AI observability, or MLOps platforms
Key Attributes
Strong systems-thinking mindset with passion for solving complex networking and scalability problems
Customer-focused approach to building highly reliable and secure products
Ability to balance innovation with operational excellence and product quality
Ownership mentality with a track record of delivering impactful technical outcomes
Excellent verbal and written communication skills
A10 Networks is an equal opportunity employer and a VEVRAA federal subcontractor. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. A10 also complies with all applicable state and local laws governing nondiscrimination in employment.
#LI-AN1 - Hybrid
Targeted compensation guideline: $180,000 - $195,000. Compensation will vary based on number of factors, including market demand for specific skills, role type, job level, and individual qualifications. Final salary offers are determined by considerations including, but not limited to, subject matter expertise, demonstrated skill level, relevant experience, geographic location, education, certifications, and training.