Senior Staff AI Software System Design Engineer Job at AMD (Shanghai)

Senior Staff Software Engineer - AI

GEICO is seeking an experienced Engineer with a passion for building high-perfor...

Location

United States , Seattle, WA; Austin, TX; Palo Alto, CA; Chicago, IL; Dallas, TX

Salary:

110000.00 - 230000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Experience building and deploying ML systems in production with cross-functional engineering teams
Fluency in at least two modern languages such as Python, Go, Java, C++, or C# including object-oriented design
Experience architecting multi-component ML platforms using open-source/cloud-agnostic components: Datastores: PostgreSQL, NoSQL (MongoDB, Cassandra, CosmosDB) Streaming: Kafka, Flink, or Spark Streaming
Experience with end-to-end ML lifecycle: version control, CI/CD, Kubernetes, testing, monitoring, and production support
Experience with cloud providers (Azure, AWS or GCP) in production ML environments
Experience with observability tools and distributed systems monitoring, logging, tracing, and root cause analysis
Experience building multi-agent systems using LLMs and agentic frameworks (e.g., LangChain, LangGraph, AutoGen, Semantic Kernel, CrewAI)
Hands-on experience with RAG, semantic search, and vector databases (e.g., Milvus, pgvector, Qdrant, ElasticSearch)
Experience designing human-in-the-loop workflows and safety controls for autonomous systems
Strong architecture and design skills with ability to influence technical direction and roadmap

Job Responsibility

Design and build a multi-agent AI platform where specialized agents autonomously detect, diagnose, and resolve issues through agent-to-agent (A2A) collaboration
Develop intelligent agents using LLMs and agentic frameworks that coordinate detection, diagnostic, remediation, and knowledge tasks with minimal human intervention
Define agent interaction protocols, A2A communication standards, and evaluation frameworks for agent decision quality and autonomous action safety
Architect vector database solutions (Milvus, pgvector, Qdrant) for semantic search and RAG to enable context-aware agent decision-making
Build end-to-end ML pipelines for severity classification, anomaly detection, failure pattern recognition, and impact forecasting using observability data
Establish scalable orchestration infrastructure for multi-agent workflows with CI/CD, automated evaluation, canary releases, and rollback strategies
Implement monitoring for agent interactions, A2A communication patterns, decision quality, data drift, and system reliability
Lead technical architecture ensuring scalability, observability, and integration with existing alerting, logging, and monitoring systems
Define standards for agent safety, explainability, governance, and human-in-the-loop controls for high-impact automated actions
Partner with SRE, Product, and Engineering teams to translate reliability goals into measurable ML objectives and maintain pragmatic technical roadmaps

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Senior Staff Software AI Test Engineer- Prisma SASE

We are seeking Test Engineers with a strong Automation First Mindset as we scale...

Location

United States , Santa Clara

Salary:

126000.00 - 204500.00 USD / Year

Palo Alto Networks

Expiration Date

Until further notice

Requirements

Automation skills - Python, Playwright
Experience with building automation frameworks and leading the automation effort for the team
Working Knowledge of CI/CD pipelines
Experience with Cloud Technologies such Aws/Azure/GCP
Knowledge of common security related protocols and their design (i.e. SSH, IPsec,TCP/IP, DNS, TLS, SSL etc.)
Demonstrated ability to learn quickly and to work in a fast paced, innovative environment learning new technologies and multi-tasking
8+ years of experience
Bachelor’s Degree OR Master in Computer Science/Engineering/Networking or equivalent military experience required

Job Responsibility

Develop and execute sophisticated software tests and frameworks to validate Prisma SASE Functionality and Scale, working closely with Development, Product Management, SRE and Technical Marketing teams
Provide Thorough Technical Leadership in the areas of Cloud Based Orchestration, Cloud delivered Security, Cloud Networking and Automation Design
Participate in system design so that Quality Assurance is considered throughout the entire lifecycle of the Prisma Access Feature Development
Develop and/or Enhance Automated test Infrastructure to enable building Scalable & Flexible tests that reflect real world network deployment scenarios
Enhance Test strategies, Automation & Build infrastructure with feedback and analysis from real-world Customer deployments

Fulltime

Senior Staff Engineer Software

As a Senior or Principal Software Engineer in Cortex Cloud, you will contribute ...

Location

Israel , Tel Aviv

Salary:

Not provided

Palo Alto Networks

Expiration Date

Until further notice

Requirements

5+ years of experience building and maintaining production-grade distributed systems
Proficiency in Go (Golang) is a strong advantage
We are open to engineers with deep expertise in other backend languages (Java, Python, Rust, C#, or Node.js) who are willing to transition to a Go-primary stack and have a focus on clean, well-tested code
Strong grasp of system design, data structures, and algorithms in high-scale cloud environments
Experience with CI/CD, comprehensive testing (unit, integration, E2E), and rigorous code reviews
Proficiency in AWS, GCP, or Azure, including cloud-native services
Experience with observability (monitoring, logging, tracing) and system profiling
B.Sc. or M.Sc. in Computer Science, Software Engineering, or equivalent technical/military experience

Job Responsibility

Contribute to the development and scaling of cloud-native security solutions for enterprise organizations
Work within an established team to evolve a high-traffic product, with a focus on refining architecture, optimizing the technology stack, and maintaining engineering standards
Write reliable code, influence product direction, and design distributed systems
Make technical decisions that impact the long-term stability and performance of cloud workload protection services
Work with AI Tools: Utilize platforms such as Gemini, Claude, and Cursor for tasks beyond code generation, including root-cause analysis, system design reviews, and architectural assessment
Develop AI-Augmented Workflows: Help refine how AI is integrated into the SDLC, including the orchestration of agents and the development of internal tools that extend AI capabilities across our codebase
Maintain Quality Standards: Critical review of all generated code and ensuring that AI-assisted work aligns with our architectural requirements and security benchmarks
Coordinate with AI agents (Product, Architecture, Security) that operate on shared context to assist in managing complex engineering tasks

Fulltime

Senior Software Engineer, AI Platform

GoodLeap is a technology company delivering best-in-class financing and software...

Location

United States , AUSTIN; SAN FRANCISCO; IRVINE; ROSEVILLE

Salary:

173000.00 - 200000.00 USD / Year

GoodLeap

Expiration Date

Until further notice

Requirements

5+ years of experience building and shipping scalable, robust backend services and APIs
Strong proficiency in Python and/or TypeScript
Solid understanding of distributed systems, service-oriented architecture, and event-driven patterns (e.g. Kafka, RabbitMQ, SQS)
Passion for software development, emerging technologies and culture of innovation
A collaborative mindset and interest in mentoring teammates and elevating team practices
Excellent communication and interpersonal skills

Job Responsibility

Build features and extensions to our agentic AI platform using scalable, robust, and AI-first software engineering practices
Design tools and infrastructure to enable teams at GoodLeap to easily build and enhance AI agents that empower homeowners, contractors, and operations staff
Work alongside a team of AI engineers, product managers, and data scientists to evaluate and improve our agent ecosystem
Collaborate with Staff engineers, product, architecture, and design leads to deliver highly-available, fault-tolerant products and services
Work on significant and unique technical challenges, evaluate and recommend solutions, and guide decision making by considering technical tradeoffs
Grasp both the technical and business perspective so you can help drive innovation
Work autonomously and be self-disciplined, requiring minimal supervision or guidance
Collaborate with other team members and coach more junior team members to grow both their technical skills and soft skills

What we offer

May be eligible for a bonus and equity

Fulltime

Senior Staff Software Engineer: Data & Storage Platform

Uber’s Data Platform is the heart of the company’s critical decision-making and ...

Location

United States , Seattle; San Francisco; Sunnyvale

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

14+ Years of Engineering Excellence: Proven experience designing and operating world-class distributed data and storage systems
Mastery of Storage Internals: Extensive storage experience is a must
Deep expertise in: Batch & Object Storage: HDFS, Cloud Object Storage (S3/GCS/OCI), and Blobstore metadata management
Storage Optimization: Practical experience with Apache Hudi or Apache Iceberg for lakehouse architectures
Transactional Systems: Experience with distributed transactional storage (e.g., Docstore, Google Spanner, TiDB)
NoSQL & Cache: Cassandra, Redis, and high-throughput Key-Value stores
Data + AI Convergence: Deep understanding of how compute fabrics (Spark, Flink, Ray) integrate with vector databases and model-serving platforms
Query Engine Proficiency: Architect-level knowledge of Presto, Trino, or Hive for large-scale analytical processing
Systems Programming: Expert-level command of Java, Go, Scala, or C++ with a focus on performance tuning and distributed consensus

Job Responsibility

Architect the Multi-Modal Fabric: Unify batch, streaming, and AI compute into one intelligent fabric, enabling real-time insights and trustworthy AI agents at a global scale
Revolutionize Storage & Catalog: Drive the architecture for a unified catalog and metadata management service for unstructured data, leveraging native cloud object store capabilities
Operationalize AI Intelligence: Partner with teams like QueryCopilot and DataIQ to bridge human validation with autonomous reasoning through agentic workflows
Lead Storage Modernization: Evolve our massive-scale persistence layers—including Docstore (Transactional Distributed Storage) and Distributed MySQL—to increase resiliency and reduce operational overhead
Open Source & Act as a force multiplier by contributing to the community (Hudi, Iceberg, Presto)

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

Senior Staff Engineer, AI

We are seeking a visionary and hands-on Senior Staff AI Engineer to be the found...

Location

India

Salary:

Not provided

AlphaSense

Expiration Date

Until further notice

Requirements

10+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems
Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar
Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment
Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing)
Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority

Job Responsibility

Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges
Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput
Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently
Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Staff Software Engineer, AI Agent Platform

The Geico AI Agent Platform team is seeking an exceptional Staff Software Engine...

Location

United States , Chevy Chase; New York City

Salary:

115000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, Mathematics, or a related field
an advanced degree (master’s or Ph.D.) is highly desirable
6+ years of hands-on experience in designing, implementing, and maintaining multi-tenant AIML systems and platforms in production environments
6+ years of experience working with cloud platforms such as Azure and AWS
Extensive expertise in designing and deploying large-scale data pipelines and real-time inference systems and managing the end-to-end AI Agent and/or AIML system development lifecycles, including configuration, evaluation, monitoring, observability and AuthN/AuthR considerations
6+ years of experience working with common backend systems & tools (e.g, Kubernetes, Temporal, OpenSearch, PostgreSQL, Redis, Neo4J, etc.)
Deep understanding of Docker, container optimization, and multi-stage builds
Experience with Prometheus, Grafana, Open Telemetry and distributed tracing
3+ years of experience building front-end web applications using frameworks such as React and/or Next.JS
Deep proficiency in programming languages such as Python, Java, Go, etc., with a strong emphasis on coding excellence

Job Responsibility

Architect and implement scalable multi-tenant backend systems for building AI agent workflows, including agent configuration, offline evaluation, synthetic data generation, workflow simulation, agent marketplace, etc. using Azure Kubernetes Service (AKS), FastAPI, etc., ensuring economy of scale and control cost of maintenance
Collaborate with Design team to architect and implement frontend experiences and workflows for onboarding both technical and non-technical stakeholders, maximizing user adoption and successful AI agent development
Develop observability frameworks to ensure 99.9%+ uptime for AI agent platforms through robust monitoring, alerting, and incident response procedures
Evaluate and (if desirable) integrate cutting-edge GenAI frameworks, libraries and vendors to maintain a state-of-the-art technology stack, including hybrid cloud solutions with AWS/GCP as backup or specialized use cases
Architect and implement scalable, high-performance machine learning platforms and systems capable of processing large data volumes and supporting real-time decision making and workflows
Oversee the end-to-end lifecycle of AI agent applications, ensuring robust testing, deployment, and ongoing monitoring
Ensure adherence to company production readiness standards, security protocols, and regulatory compliance throughout the development lifecycle
Continuously optimize platform performance, reducing latency and improving throughput for AI agent workloads
Design and implement backup, recovery, and business continuity plans for hosted platform applications & services
Design and maintain robust CI/CD pipelines for ML model deployment using Azure DevOps, GitHub Actions, and MLOps tools

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Senior Staff Engineer, Software Engineering

We are seeking a highly accomplished Senior Staff Engineer to join our engineeri...

Location

United States , Chevy Chase, MD; Palo Alto, CA; Seattle, WA

Salary:

130000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Deep expertise in infrastructure systems, including compute platforms (Kubernetes, Docker, cloud services), networking, and storage
Strong database experience across relational databases (PostgreSQL, MySQL) and NoSQL solutions (MongoDB, Cassandra, Redis, DynamoDB)
Demonstrated experience applying AI to solve real-world problems in production environments
Expert-level proficiency in at least two programming languages (e.g., Python, Java, Go, Rust)
Experience designing and building distributed systems at scale
Strong understanding of cloud platforms (Azure OR AWS) and infrastructure-as-code practices
Hands-on experience with CI/CD pipelines, build systems, and deployment automation (e.g., GitHub Actions, Jenkins, Azure DevOps, ArgoCD)
Background in building real-time data processing systems (Kafka, Flink, Spark)
Excellent communication skills with the ability to articulate complex technical concepts to diverse audiences
Experience working in a platform engineering team, building internal developer platforms or shared infrastructure services

Job Responsibility

Define and drive the technical vision for infrastructure and AI-powered systems across the organization
Design, architect, and implement highly scalable, fault-tolerant distributed systems
Lead technical decision-making on critical projects, balancing short-term needs with long-term sustainability
Establish and champion engineering best practices, design patterns, and coding standards
Architect and optimize compute infrastructure for performance, reliability, and cost efficiency
Design and implement database solutions (relational and NoSQL) that scale to meet business demands
Drive cloud infrastructure strategy, including containerization, orchestration, and serverless architectures
Ensure system reliability, observability, and operational excellence across all platform components
Identify and prioritize opportunities to apply AI/ML to solve high-impact business problems
Stay current with emerging AI technologies and evaluate their applicability to business challenges

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

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Senior Staff AI Software System Design Engineer

Job Description

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