Staff Software Development Engineer - AI Profiler Tools Job at AMD (Santa Clara)

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

Sr Staff Software Engineer

As a Senior Staff Software Engineer, you will be a key contributor to Teradata’s...

Location

United States , San Diego

Salary:

156400.00 - 234700.00 USD / Year

Teradata

Expiration Date

Until further notice

Requirements

10 to 12 years of working experience as a Software Developer
Experience with large-scale, enterprise grade software development in C/C++ programming language, including: Low level TCP/IP protocol, Inter-process communications, Debugging multi-threaded applications
Strong data structure, multi-threading and algorithms fundamentals
Multi-cloud and On Premises platforms exposure
Very good understanding of common public cloud technologies - storage, communication, and security
Knowledge of SQL and understanding of relational databases, including, Referential Integrity, Columnar vs. Row Storage, Triggers, and Stored Procedures
Strong background in database internals and analytics through working exposure
Knowledge of diverse concepts and techniques for creating systems with High Availability and Resilience
Experience working on high-availability data replication solutions achieving near‑zero RTO and RPO
Knowledge of modern storage options, including objects stores, sharded data, and data replication techniques

Job Responsibility

Design, develop, test, and maintain Teradata’s In-Database Replication offering, a critical business continuity solution for its customers worldwide
span the full product development lifecycle, including requirement analysis, architecture and design, development, testing, and ongoing maintenance of new and existing features
engage with the associated technologies and environments necessary to ensure successful, high-quality product delivery
may also provide support for released products

What we offer

healthcare
life and disability insurance plans
401(k)-retirement savings plan
time-off programs

Fulltime

Staff Software Engineer

GEICO is seeking an experienced Staff Software Engineer to join our Knowledge Gr...

Location

United States , Chevy Chase; Seattle

Salary:

105000.00 - 230000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Proven experience designing and implementing knowledge management platforms, semantic data systems, content generation tools, or AI-driven developer platforms
Full-stack developer with extensive experience in modern front-end frameworks (React, TypeScript), web technologies (JavaScript, HTML, CSS/SASS), backend languages (Node.js, Python, Java), and cloud platforms (Azure, AWS, GCP)
Strong ability to architect distributed semantic systems and graph-based microservice architectures that handle complex data relationships and scale reliably
Experience with knowledge graphs, semantic technologies, and AI/ML platforms such as Neo4j, Apache Jena, TigerGraph, or similar graph databases, along with NLP frameworks and content generation models
Familiarity with semantic web standards (RDF, OWL, SPARQL), ontology design, knowledge representation, and automated reasoning systems
Deep understanding of content management ecosystems, headless CMS architectures, API-driven publishing workflows, and content delivery optimization
Experience with AI/ML frameworks for natural language processing, content generation (GPT, BERT, T5), recommendation systems, and knowledge extraction from unstructured data
Product mindset and passion for building intelligent tools that solve complex content challenges and enhance user experiences through semantic understanding
Excellent collaboration and communication skills with ability to explain complex semantic concepts to technical and non-technical stakeholders
In-depth knowledge of CS data structures, algorithms, particularly graph algorithms, semantic matching, and distributed system design patterns

Job Responsibility

Architect and design enterprise-scale knowledge graph platforms that capture and model GEICO's comprehensive insurance domain expertise, customer insights, product relationships, and market intelligence
Build automated semantic content generation systems that leverage knowledge graphs to create personalized insurance content, product descriptions, educational materials, and customer communications at scale
Develop intelligent content workflows and APIs that use graph traversal algorithms, natural language processing, and machine learning to automate content production, template generation, and multi-channel publishing
Design real-time content personalization engines that query knowledge graphs to deliver contextually relevant messaging based on customer profiles, policy information, and behavioral patterns
Create sophisticated data ingestion and enrichment pipelines that continuously build and maintain knowledge graphs from structured and unstructured data sources across the enterprise
Implement semantic search and content discovery platforms that understand customer intent and context through graph-based query processing and recommendation algorithms
Build internal dashboards and tooling for content performance monitoring, knowledge graph visualization, semantic relationship analysis, and content optimization insights
Lead cross-functional collaboration with product managers, data scientists, and content strategists to translate business objectives into scalable knowledge-driven technical solutions
Champion engineering excellence in semantic modeling, ontology design, graph database optimization, and AI/ML integration best practices
Mentor engineering teams on knowledge graph technologies, content automation frameworks, and distributed system design patterns for semantic platforms

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

Staff/Senior Staff Software Engineer - Cloud Hypervisor R&D

The Crusoe Cloud Software Development team is seeking a passionate and experienc...

Location

United States , San Francisco; Sunnyvale

Salary:

204000.00 - 247000.00 USD / Year

Crusoe

Expiration Date

Until further notice

Requirements

Proven deep knowledge of hypervisor internals (e.g., KVM, QEMU, Xen, or other bare-metal hypervisors), including CPU virtualization (VT-x/AMD-V), memory virtualization (EPT/NPT, MMU), and I/O virtualization (SR-IOV, virtio)
Strong understanding of virtual machine lifecycle, live migration, snapshotting, and fault tolerance mechanisms
Experience with Linux kernel internals as they pertain to virtualization, including device drivers, memory management, and scheduling within a virtualized context
Familiarity with hardware architectures relevant to virtualization, including CPUs (x86, ARM), GPUs, and Smart NICs/DPUs. Experience with hardware offloads and acceleration for virtualization
Demonstrated ability to identify and resolve performance bottlenecks in complex virtualized systems. Experience with profiling tools and techniques
Strong debugging skills in complex, distributed systems at the hypervisor and kernel levels

Job Responsibility

Design, develop, and optimize core hypervisor components (e.g., KVM, QEMU, or custom solutions) to achieve maximum performance and efficiency for AI workloads
Conduct in-depth research into advanced virtualization technologies, exploring novel approaches for isolating and accelerating AI compute, storage, and networking resources
Develop and enhance virtual hardware components and device emulation, ensuring optimal performance and compatibility for specialized AI accelerators (e.g., GPUs, DPUs) within the virtualized environment
Analyze and enhance the performance of the entire virtualization stack, from the hypervisor to the virtualized guest OS, with a specific focus on optimizing for AI/ML workloads
Diagnose and resolve complex system issues within the virtualization layer
Conduct thorough code reviews to ensure the highest level of software quality, reliability, and security within the hypervisor and virtualization components
Collaborate with other engineering teams, including hardware design, OS development, and AI/ML application teams
Provide technical guidance and mentorship to junior engineers

What we offer

Restricted Stock Units
Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
Employer contributions to HSA accounts
Paid Parental Leave
Paid life insurance, short-term and long-term disability
Teladoc
401(k) with a 100% match up to 4% of salary
Generous paid time off and holiday schedule
Cell phone reimbursement
Tuition reimbursement

Fulltime

Staff Android Software Engineer, Cash App Consumer Platform

It all started with an idea at Block in 2013. Initially built to take the pain o...

Location

United States , New York

Salary:

263600.00 - 395400.00 USD / Year

Cash App

Expiration Date

Until further notice

Requirements

Platform or infrastructure builder's mindset. You've built systems for engineers as your customers, and you care deeply about developer experience
A high agency mindset - if you see a problem you take the initiative to find a solution
10+ years of Android development experience with a demonstrated track record of impact at organizational scope
BA/BS degree in Computer Science or equivalent practical experience
Proven organizational leadership. You've driven large-scale technical initiatives across multiple teams and left systems meaningfully better
AI-native development practice - You actively use AI-assisted development tools and have a strong, evolving point of view on where AI creates real leverage in engineering - and where it falls short
Strong systems thinking - You identify non-obvious problems and design solutions that are simple enough to be right
Exceptional communication - crisp design docs, productive design reviews, and the ability to build alignment across senior engineers and non-engineers alike
Deep Android expertise - Kotlin, Jetpack Compose, modern architecture patterns, build systems, performance profiling, and testing at scale
Experience building developer platforms, shared libraries, or internal tooling used across large engineering organizations

Job Responsibility

Build and Own the Android Platform
Own and evolve foundational Android infrastructure: modularization, dependency injection, navigation, deep linking, and app lifecycle systems
Design and deliver shared libraries and frameworks that feature teams rely on daily with developer and AI ergonomics as a first-class concern
Drive Cash App's Android architecture forward, making high-leverage decisions that compound over time
Invent thoughtful Android platform tech and open source it where it creates value for the broader community
Develop and steward rapid experimentation in support of the fast iteration enabled by the AI world
Build upon observability and performance tooling that gives engineers and on-callers clarity and confidence
Partner with iOS, Web, and backend engineers to deliver consistent, high-quality cross-platform experiences
Lead as an AI-Native Engineer
Evolve how Cash App's Android engineering org uses AI

What we offer

Remote work
medical insurance
flexible time off
retirement savings plans
modern family planning

Fulltime

Staff Android Software Engineer, Cash App Consumer Platform

The Cash App Consumer Platform is responsible for laying the foundation that eve...

Location

United States , San Francisco Bay Area

Salary:

263600.00 - 395400.00 USD / Year

Cash App

Expiration Date

Until further notice

Requirements

10+ years of Android development experience with a demonstrated track record of impact at organizational scope
BA/BS degree in Computer Science or equivalent practical experience
Proven organizational leadership - driven large-scale technical initiatives across multiple teams and left systems meaningfully better
AI-native development practice - actively uses AI-assisted development tools and has a strong, evolving point of view on where AI creates real leverage in engineering - and where it falls short
Strong systems thinking - identifies non-obvious problems and designs solutions that are simple enough to be right
Exceptional communication - crisp design docs, productive design reviews, and the ability to build alignment across senior engineers and non-engineers alike
Deep Android expertise - Kotlin, Jetpack Compose, modern architecture patterns, build systems, performance profiling, and testing at scale
Platform or infrastructure builder's mindset
A high agency mindset

Job Responsibility

Build and Own the Android Platform: own and evolve foundational Android infrastructure including modularization, dependency injection, navigation, deep linking, and app lifecycle systems
design and deliver shared libraries and frameworks that feature teams rely on daily with developer and AI ergonomics as a first-class concern
drive Cash App's Android architecture forward, making high-leverage decisions that compound over time
invent thoughtful Android platform tech and open source it where it creates value for the broader community
develop and steward rapid experimentation in support of the fast iteration enabled by the AI world
build upon observability and performance tooling that gives engineers and on-callers clarity and confidence
partner with iOS, Web, and backend engineers to deliver consistent, high-quality cross-platform experiences
Lead as an AI-Native Engineer: evolve how Cash App's Android engineering org uses AI
proactively identify where AI creates real leverage in platform and product engineering workflows, and act on it
introduce and evaluate emerging AI development tools (Claude Code, GPT/Codex, Goose, and what comes next), forming a clear point of view on adoption

What we offer

Remote work
medical insurance
flexible time off
retirement savings plans
modern family planning

Fulltime

Staff Machine Learning Engineer, AI

As a Staff Machine Learning Engineer on Sentry’s AI/ML team, you’ll be directly ...

Location

United States , San Francisco

Salary:

210000.00 - 280000.00 USD / Year

Sentry

Expiration Date

Until further notice

Requirements

Minimum 4+ years of professional experience with a MS/PhD degree in computer science, machine learning, or a related field
Minimum 6+ years of professional experience with Bachelor’s degree in computer science, machine learning, or a related field
Demonstrated expertise building production-grade agentic systems and tools
You are comfortable writing production quality code (we use Python)
Expertise with deep learning frameworks (we use PyTorch)
Familiarity in deploying machine learning models at scale in production environments
Experience in writing technical documentation, mentoring, and presenting to technical audiences
Proven track record of owning a system, feature, or component, leading or collaborating with multiple engineers and teams

Job Responsibility

Build state-of-the-art agentic AI systems to triage, debug, and solve real production issues
Leverage Sentry’s novel (and massive) dataset of errors, spans, and profiles
Own the development of major initiatives in the AI/ML space

What we offer

Offers Equity
incentive compensation
equity grants
paid time off
group health insurance coverage

Fulltime

Staff Platform Security Engineer

Fivetran is building data pipelines to power the modern data stack for thousands...

Location

United States , Oakland

Salary:

196033.00 - 245041.50 USD / Year

Fivetran

Expiration Date

Until further notice

Requirements

Application Security Expertise: Deep expertise in identifying and mitigating security vulnerabilities within applications (e.g., OWASP Top 10), particularly in Java codebases.
Secure SDLC: Extensive experience integrating security into the software development lifecycle, from design and code review to testing and deployment.
Java Proficiency: Senior-level experience with Java codebases: building, running, profiling, and optimizing Java applications in secure environments.
Container Security: Strong experience with Docker image creation, optimization, and vulnerability mitigation, specifically for applications.
CI/CD & Automation: Proficiency with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions) and experience integrating security tools into automated pipelines.
Tooling Familiarity: Familiarity with a range of security tools for CI/CD security, static analysis (SAST), dynamic analysis (DAST), dependency analysis (SCA), and secrets management.
Adversarial AI & Defense: Familiarity with modern attack techniques, offensive security methodologies, and defense strategies, including OWASP Top 10 for LLMs (e.g., Prompt Injection, Data Poisoning, and Model Inversion).
Scripting: Proficiency in scripting or programming languages (e.g., Bash, Python, Go) to automate security processes and tool integration.
Problem-Solving: Excellent problem-solving and troubleshooting skills, with the ability to work independently in fast-paced environments.
Communication: Strong communication skills with the ability to effectively collaborate with and educate engineering teams on security principles and best practices.

Job Responsibility

Collaborate with engineering teams to integrate and manage security tooling within the SDLC, strategically automating security checks and feedback loops to enhance efficiency and security posture.
Perform vulnerability scanning and participate in penetration testing exercises, automating scanning processes judiciously to identify common weaknesses, while reserving manual efforts for complex and nuanced assessments. Report findings and assist with remediation efforts.
Develop and maintain automation scripts and infrastructure-as-code for security checks related to machine configurations, container images, IAM policies, firewall rules, and cloud storage policies.
Implement and configure security controls within enterprise applications based on security best practices and architectural guidance.
Contribute to threat modeling efforts by providing technical insights and implementing identified security controls.
Work directly with engineering teams to troubleshoot and resolve security challenges across the stack while promoting a security-first mindset, identifying and automating recurring troubleshooting steps or remediation processes where it significantly improves response times and reduces manual intervention.
Implement and operationalize security solutions for cloud-native and hybrid infrastructure based on architectural guidelines.
Collaborate with infrastructure and cloud security teams to implement and maintain security controls across the entire technology stack, strategically prioritizing automation for consistent enforcement, monitoring, and alerting to improve overall security and reduce manual overhead.
Implement and manage security assessment tools, including vulnerability scanners, SIEM agents, DLP endpoints, and EDR sensors.
Participate in security assessment reviews by providing practical implementation feedback and identifying potential operational challenges.

What we offer

100% employer-paid medical insurance*
Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.

Fulltime

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Staff Software Development Engineer - AI Profiler Tools

Job Description

Job Responsibility

Requirements

Nice to have

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