Key Responsibilities:

• Take ownership of project priorities, deadlines and deliverables using Agile methodologies, with clear outcomes around reliability automation and AI-enabled operations
• Understand and refine business and functional requirements, translating them into SLOs/SLIs and AI-assisted observability and support capabilities
• Hands on approach to getting work done,this role requires a “roll your sleeves up” mentality, including building and operationalizing reliability tooling and automation that measurably reduces toil and improves stability
• Be a leader with vision and a partner in brainstorming solutions for team productivity and efficiency to improve engineering effectiveness
• Drive priority setting of the engineering teams, balancing foundational reliability work with delivery of new product features
• Improve Engineering culture by encouraging continuous focus on reliability across the entire application lifecycle, and by adopting AI-enabled SRE practices (e.g., intelligent alerting, automated diagnosis, and self-healing where appropriate)
• Proactive participant in architectural and design decisions, including AI-ready telemetry, data quality, and model integration patterns for operational analytics
• Design and implement end-to-end monitoring solutions for application and infrastructure components, leveraging modern observability platforms plus AI/ML techniques for anomaly detection, correlation, and alert noise reduction
• Drive the engineering of capacity management and demand forecasting solutions, including predictive analytics/ML approaches where they add measurable value
• Act as a culture carrier and leader, passing on SRE knowledge and best practices to the engineering team
• Drive detailed root cause investigations for production incidents with rigorous focus on issue avoidance, using AI-assisted correlation/analysis to accelerate time-to-insight
• Create/coordinate retros for significant incidents, ensuring learnings are captured in automated/AI-assisted runbooks and embedded into prevention mechanisms
• Additional core engineering functions, such as adding custom telemetry metrics/logs/traces to the code base of in-scope applications to enable AI/ML-driven operational insights
• Anticipate new opportunities to continuously evolve the resiliency profile of scoped applications and infrastructure

Requirements:

• B.S. / M.S. degree in Computer Science, Engineering or a related discipline with 10+ years of experience
• Experience leading high performing engineering/SRE teams, with a track record of driving continuous improvement through automation and AI-enabled operations
• Demonstrated ability to represent engineering/SRE priorities, status, and risk to senior leadership stakeholders with clear, executive-ready communication
• Hands-on experience building or operating AI-assisted capabilities (AIOps, ML-based anomaly detection, or GenAI workflows) in an engineering/production environment
• A passion for providing engineering support for highly available, performant full stack applications with a “Student of Technology” attitude
• Experience with relational database and NoSQL Database (e.g. Redis, Apache Cassandra)

Benefits:

• Retirement investment and tools designed to help you in building a sound financial future
• Access to education reimbursement
• Comprehensive resources to support your physical health and emotional well-being
• Family support programs
• Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about

Hybrid Work Model:

• BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all
• Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week
• Some business groups may require more time in the office due to their roles and responsibilities
• We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation

About BlackRock:

• At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being
• Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses
• Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress

XML job scraping automation by YubHub

Primary responsibilities include:

• Owning independent risk oversight: Overseeing global credit portfolios, with a clear view of exposures across credit spread, default, recovery, curve, basis, convexity, embedded optionality, ratings migration, financing, liquidity, and correlation.

• Analysing P&L and risk: Analysing risk drivers, P&L attribution, hedging efficiency, scenario behaviour, and tail outcomes for portfolios trading corporate bonds (investment grade and high-yield), leveraged loans, credit indices (CDX, iTraxx), single-name CDS, tranches, and structured products such as CLOs and non-agency MBS.

• Developing and overseeing risk guidelines: Establishing guidelines for portfolio construction, concentration, liquidity, gap risk, financing, and drawdown. Ensuring mandates are defined, scalable, and consistently observed.

• Reviewing trade and portfolio construction: Reviewing positions with close attention to bond and loan terms, covenants, capital structure, seniority and security, structural protections, embedded optionality (calls, puts, prepayment and extension risk), CDS documentation, index and tranche construction, financing and margin assumptions, and event risk (ratings actions, refinancings, restructurings, and defaults).

• Reviewing portfolio risk: Working closely with portfolio managers to assess positions where risk may be mispriced, crowded, imperfectly hedged, or less aligned with mandate, liquidity, or market regime, with particular focus on default and downgrade risk, complex structures, and crowded credit themes.

• Evaluating portfolio manager candidates: Assessing prospective Portfolio Manager candidates by testing the strength of their process, risk discipline, hedging approach, portfolio construction, and historical returns.

• Improving risk infrastructure: Enhancing the Firm's models, systems, and reporting for credit risk. Working with quantitative researchers and technologists to improve valuation, stress testing, exposure decomposition, default and loss modelling, and real-time reporting.

• Communicating with precision: Presenting key exposures, stress results, and changes in market structure clearly to senior leadership and investment teams.

• Monitoring global market developments: Tracking primary and secondary market activity, issuance trends, liquidity, market structure, rating migration, default cycles, and regional differences in the U.S., Europe, and Asia that may affect risk-taking and portfolio construction.

XML job scraping automation by YubHub

You are a skilled and motivated analog design engineer, passionate about developing advanced integrated circuits for high-speed communication systems. With a good understanding of CMOS technologies and track record in designing medium complexity analog circuits, you thrive in fast-paced, collaborative environments. You have expertise in some analog functions such as ADCs, DACs, PLLs, and transceiver blocks, and you are adept at delivering robust designs that meet stringent electrical specifications and reliability constraints. Analytical and detail-oriented, you know how to evaluate the impact of layout parasitics and optimizing for performance, power, and area.

You are comfortable conducting technical reviews, planning design activities, and ensuring that silicon results correlate closely with simulation predictions. Your communication skills enable you to interact effectively within a global and multi-cultural team, and your organizational abilities ensure timely delivery of milestones. You are proactive in problem-solving and continuous improvement, and you value mentorship, sometimes guiding junior engineers. Whether you have industry experience or specialized academic training, you are eager to contribute to cutting-edge projects that power innovations in mobile, automotive, cloud, HPC, AI, IoT, 5G, and storage. Inclusivity, diversity, and collaboration are important to you, and you are ready to make a significant impact at Synopsys.

Design and develop medium complexity analog circuits for high-speed SerDes products supporting Ethernet and PCIe standards. Define and plan analog design activities, setting clear milestones and deliverables for project success. Prepare and conduct technical design reviews, identifying improvements, tracking actions, and ensuring best practices are followed. Evaluate and minimize the impact of layout parasitic effects by collaborating closely with layout teams, optimizing circuit performance, power, and area. Perform silicon correlation with simulation results, analyzing discrepancies and driving design refinements. Engage with a global, multi-cultural, and cross-functional R&D team, contributing to a collaborative and innovative work environment.

Accelerate the development of industry-leading SerDes IP products, supporting diverse markets such as mobile, automotive, cloud computing, HPC, AI, IoT, 5G, and storage, enabling high-speed chip-to-chip communications in next-generation devices. Enhance Synopsys' reputation as a provider of silicon-proven IP by delivering reliable, high-performance analog designs. Reduce risk for customers by ensuring robust correlation between simulation and silicon, leading to differentiated products in the marketplace. Foster innovation and continuous improvement within the analog and mixed-signal R&D team, setting benchmarks for technical excellence.

XML job scraping automation by YubHub

Anthropic is seeking talented and experienced Software Engineers to join our Observability team within the Infrastructure organization. The Observability team owns the monitoring and telemetry infrastructure that every engineer and researcher at Anthropic depends on,from metrics and logging pipelines to distributed tracing, error analytics, alerting, and the dashboards and query interfaces that make it all actionable.

As Anthropic scales its infrastructure across massive GPU, TPU, and Trainium clusters, the volume and complexity of operational data is growing by orders of magnitude. We’re building next-generation observability systems,high-throughput ingest pipelines, cost-efficient columnar storage, unified query layers across signals, and agentic diagnostic tools,to ensure that engineers can detect, diagnose, and resolve issues in minutes rather than hours, even as the systems they operate become exponentially more complex.

Responsibilities

• Design and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across Anthropic’s multi-cluster infrastructure

• Own and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organisational growth

• Build instrumentation libraries, SDKs, and integrations that make it easy for engineering teams to emit high-quality telemetry from their services

• Drive alerting and SLO infrastructure that enables teams to define, monitor, and respond to reliability targets with minimal noise

• Reduce mean time to detection and resolution by building cross-signal correlation, unified query interfaces, and AI-assisted diagnostic tooling

• Partner with Research, Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organisation

You May Be a Good Fit If You

• Have 10+ years of relevant industry experience building and operating large-scale observability or monitoring infrastructure

• Have deep experience with at least one observability signal area (metrics, logging, tracing, or error analytics) and familiarity with the others

• Understand high-throughput data pipelines, columnar storage engines, and the tradeoffs involved in ingesting and querying telemetry data at scale

• Have experience operating or building on top of observability platforms such as Prometheus, Grafana, ClickHouse, OpenTelemetry, or similar systems

• Have strong proficiency in at least one of Python, Rust, or Go

• Have excellent communication skills and enjoy partnering with internal teams to improve their operational visibility and incident response capabilities

• Are excited about building foundational infrastructure and are comfortable working independently on ambiguous, high-impact technical challenges

Strong Candidates May Also Have

• Experience operating metrics systems at very high cardinality (hundreds of millions of active time series or more)

• Experience with log storage migrations or operating columnar databases (ClickHouse, BigQuery, or similar) for analytics workloads

• Experience with OpenTelemetry instrumentation, collector pipelines, and tail-based sampling strategies

• Experience building or operating alerting platforms, on-call tooling, or SLO frameworks at scale

• Experience with Kubernetes-native monitoring, eBPF-based observability, or continuous profiling

• Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

• Visa sponsorship: We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We’re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

XML job scraping automation by YubHub

Join the BizTech team at Airbnb and contribute to fostering culture and connection at the company by providing reliable corporate tools, innovative products, and technical support for all teams.

As a Senior Staff Engineer in Operations, you will lead and mentor a high-performing team to scale our AI-enabled operations model and deliver AIOps solutions that streamline operational workstreams and help BizTech teams focus on their core work with confidence.

Your scope includes leading projects across multiple products and platforms, delivering world-class outcomes that create customer and community value while balancing near- and long-term needs.

Key Responsibilities:

• Lead technical strategy and discussions, partnering with Operations peers and cross-functional BizTech teams to build AIOps and automation solutions.

• Stay on top of tasks, engagements, and team interactions,active collaboration is key to success.

• Work in sprints, delivering project work across coding, testing, design, documentation, and operational readiness reviews.

• Dedicate part of each day to core Operations work, triaging tickets, spotting patterns, and driving scalable fixes that improve efficiency.

• Participate in an on-call rotation, leading high-severity incident response as both incident commander and operations engineer.

Requirements:

• 15+ years of experience across AIOps, data catalog architecture, product development, and/or Technical Operations infrastructure.

• Strong SDLC experience, including infrastructure as code, configuration management, distributed version control, and CI/CD.

• Deep expertise in complex enterprise infrastructure, especially cloud (AWS and/or Google), with a focus on AI/automation, data catalog architecture, workflows, and correlation.

• Solid understanding of corporate infrastructure and applications to translate into AIOps requirements and integrations.

• Proven ability to lead cross-team, cross-org delivery of large-scale, technically complex, ambiguous initiatives that anticipate business needs.

• Proficient in Python or Go.

• Experience building API integrations and event-driven architectures (e.g., AWS Lambda/SQS).

Preferred Qualifications:

• Experience with cloud-based infrastructure and services.

• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).

• Knowledge of DevOps practices and tools (e.g., Jenkins, GitLab).

• Experience with agile development methodologies and frameworks (e.g., Scrum, Kanban).

• Strong communication and interpersonal skills.

• Ability to work in a fast-paced environment and adapt to changing priorities.

Salary: $212,000-$265,000 USD per year.

Benefits: Bonus, equity, benefits, and Employee Travel Credits.

Workplace Type: Remote eligible.

Experience Level: Senior.

Employment Type: Full-time.

Category: Engineering.

Industry: Technology.

Required Skills: AIOps, data catalog architecture, product development, Technical Operations infrastructure, SDLC, infrastructure as code, configuration management, distributed version control, CI/CD, cloud (AWS and/or Google), AI/automation, data catalog architecture, workflows, and correlation.

Preferred Skills: Cloud-based infrastructure and services, containerization and orchestration tools (e.g., Docker, Kubernetes), DevOps practices and tools (e.g., Jenkins, GitLab), agile development methodologies and frameworks (e.g., Scrum, Kanban), strong communication and interpersonal skills, ability to work in a fast-paced environment and adapt to changing priorities.

XML job scraping automation by YubHub

The Senior Computer Vision Engineer will be responsible for proposing and prototyping innovative solutions to solve real-world problems, developing and maintaining core libraries and runtime applications, integrating classical and geometric methods in computer vision with ML methods, and working with space vehicle CV software and hardware subsystems for various spacecraft efforts in all orbital regimes.

The successful candidate will have a Master's or Ph.D. in Machine Learning, Robotics, or Computer Science, with a strong background in computer vision and machine learning. They will also have experience in one or more of the following: objection detection, object tracking, instance segmentation, semantic segmentation, semantic change detection, natural feature tracking (NFT), visual odometry, SLAM, multi-view geometry, structure from motion, 3D geometry, discriminative correlation filters, stereo, neural 3D reconstruction, multi-band sensor processing, RGB-D and LIDAR sensor fusion.

The Senior Computer Vision Engineer will work closely with related teams, including Sensors, GNC, Avionics, Systems, Flight Software, Mission Operations, and Ground Software, to develop and implement computer vision algorithms for various spacecraft efforts in all orbital regimes.

The ideal candidate will have excellent communication and organizational skills, including documentation and training material, and will be able to work effectively in a fast-paced environment with tight deadlines.

The salary range for this role is $191,000-$253,000 USD, and highly competitive equity grants are included in the majority of full-time offers.

XML job scraping automation by YubHub

The computer vision engineering team will work closely with related teams, including Sensors, GNC, Avionics, Systems, Flight Software, Mission Operations, and Ground Software. The Computer Vision Engineer will work algorithm design, truth and physics modeling, scene rendering, simulation and analysis for a wide variety of spacecraft and space missions to include but not limited to LEO, MEO, GEO, Reentry, and RPOD (Rendezvous Proximity Operations and Docking).

The CV Engineer will help lead successful implementation, validation and CV operations of Anduril’s fleet of space vehicles. This role is directly tied to ongoing, funded programs within Anduril’s Space Business Line. The programs require building and fielding a resilient, software-defined spacecraft systems across numerous mission threads. We work with mission partners and customers to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD and IC.

The position requires a strong background in computer vision, machine learning, and software development, with experience in developing and implementing computer vision algorithms for space-based applications. The ideal candidate will have a deep understanding of computer vision principles, including object detection, tracking, and recognition, as well as experience with software development in languages such as C++ and Python.

Key Responsibilities:

• Propose and prototype innovative solutions to solve real-world problems, leveraging the latest state-of-the-art techniques in the field
• Develop and maintain core libraries and runtime applications
• Integrate classical and geometric methods in computer vision with ML methods
• Work space vehicle CV software and hardware subsystems for various spacecraft efforts in all orbital regimes and work closely with partners for successful implementation
• Develop modern, software-defined approaches to autonomous spacecraft operations with maneuvering capabilities to successfully accomplish mission objectives
• Develop appropriate test plans and procedures to validate the CV system during ground checkout, on-orbit commissioning and operations
• Collaborate across multiple teams to plan, build, and test complex functionality
• Coordinate with end-users, other operators and customers to turn needs into features while balancing user experience with engineering constraints
• Support challenging schedules during ground testing, launch windows and on-orbit operations of the spacecraft systems
• Design of flight software and firmware, algorithms, and simulation products
• Development of space vehicle autonomy tools for dynamic space operations
• Test process development and execution
• Define automated fault detection and responses
• Provide hardware-in-the-loop and monte-carlo simulation capabilities

Required Qualifications:

• MS or PhD in Machine Learning, Robotics or Computer Science, Image Science with emphasis on Computer Vision
• BS in Computer Science, Machine Learning, Electrical Engineering, or related field
• Advanced professional experience developing and benchmarking ML algorithms on large-scale datasets
• High proficiency in C++ development in a Linux environment
• Experience in one or more of the following: Objection Detection, Object Tracking, Instance Segmentation, Semantic Segmentation, Semantic Change Detection, Natural Feature Tracking (NFT)
• Experience in one or more of the following: Visual Odometry, SLAM, Multi-view Geometry, Structure from Motion, 3D Geometry, Discriminative Correlation Filters, Stereo, Neural 3D Reconstruction, Multi-band sensor processing, RGB-D and LIDAR Sensor Fusion
• Ability to quickly understand and navigate complex systems and detailed requirements
• Familiarity with terminal guidance, rendezvous proximity operations and docking, orbital mechanics with propulsive spacecraft, and/or spacecraft/missile GNC
• Clear communication and organizational skills including documentation and training material
• Currently possesses and is able to maintain an active U.S. Top Secret security clearance

Preferred Qualifications:

• Experience with Matlab, Simulink, Python, Go, C++ and/or Linux systems
• A desire to work on critical software and hardware designs in the space domain
• Strong preference for candidates possessing computer vision, vision navigation, image processing, feature tracking, SLAM, Open CV, and NFT
• Experience testing CV subsystems in laboratory environments that mimic the space environmental constraints
• Experience with orbital mechanics and resident space object tracking capabilities
• Experience conducting spacecraft operations and satellite command and control with an emphasis on system reliability and uptime
• Experience with testing/validation leveraging FlatSats, Hardware-in-the-Loop testbeds and digital spacecraft simulators through nominal and fault scenarios
• Experience with computer vision and perception algorithms to support GNC operations
• Experience developing 3-DOF simplified and 6-DOF high-fidelity dynamics simulation models used for GNC systems analysis and validation
• Exposure to US satellite operations policy and constraints for relevant mission threads in all orbits

XML job scraping automation by YubHub

At Cloudflare, we are on a mission to help build a better Internet. We run one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

About the Team

Cloudforce One is Cloudflare's threat operations and research team, responsible for identifying and disrupting cyber threats ranging from sophisticated cyber criminal activity to nation-state advanced persistent threats (APTs).

About the Role

We are seeking a talented Senior Manager, Incident Response to join us in growing our Cloudforce One organization, where you will be instrumental in building a proactive and threat intelligence-driven approach to protecting Cloudflare and its customers from sophisticated and evolving threat actors.

Responsibilities

As a REACT Consultant, you will respond to customer security incidents in on-premises and cloud environments. You will detect and disrupt cyber threat activity across customer networks and cloud environments. You will engage with customers at all levels including Executive, VP, Director, and managerial levels. You will serve an integral role in the discovery and analysis of cyber threat intrusions, working alongside forensic analysts, threat researchers, detection engineers, and malware analysts to detect and mitigate malicious activity.

The findings you uncover will help identify Tactics, Techniques, and Procedures (TTPs) of ongoing threat activity to protect your customer and the greater Cloudflare customer base.

Requirements

Our ideal candidate will have 1-2 years of previous experience in cybersecurity with at least 1+ years in Digital Forensics or Incident Response. Candidates will have experience with hands-on forensic analysis in a Windows, Mac, and Linux environment. Ideally, this candidate will have experience triaging malware using static or dynamic analysis on Windows, macOS, or UNIX-based platforms.

You will be responsible correlating threat actor activity across the customers environment. Outstanding candidates will possess excellent verbal and written communication skills. You will also have experience with incident response reports and reliably be able to write simple scripts in Python or Golang.

Examples of desirable skills, knowledge and experience include:

• Bachelor's degree in Computer Science, Information Systems, Cybersecurity, related technical field, or equivalent training/practical experience
• 3+ years of previous experience in cyber security
• 2+ years of Incident Response experience
• 1+ years of customer-facing role
• Incident Response: experience conducting or managing incident response investigations for organizations, investigating targeted threats such as the Advanced Persistent Threat, Organized Crime, and Hacktivists
• Computer Forensic Analysis: a background using a variety of forensic analysis tools in incident response investigations to determine the extent and scope of compromise
• Network Forensic Analysis: strong knowledge of network protocols, network analysis tools like Bro/Zeek or Suricata, and ability to perform analysis of associated network logs
• Reverse Engineering: ability to understand the capabilities of static and dynamic malware analysis
• Incident Remediation: strong understanding of targeted attacks and able to create customized tactical and strategic remediation plans for compromised organizations
• Network Operations and Architecture/Engineering: strong understanding of secure network architecture and strong background in performing network operations
• Cloud Incident Response: knowledge in any of the following areas: AWS, Azure, GCP incident response methodologies
• Communications: strong ability to communicate executive and/or detailed level findings to clients; ability to effectively communicate tasks, guidance, and methodology with internal teams
• Strong written and verbal communication skills, with the ability to establish and maintain strong working relationships with business groups
• Technical knowledge of common network protocols and design patterns including TCP/IP, HTTPS, FTP, SFTP, SSH, RDP, CIFS/SMB, NFS
• Familiarity with various cloud environments (AWS, Azure, O365, Google, Cloudflare)
• Understanding of MITRE ATT&CK and NIST Cyber Security Frameworks standards and requirements
• In-depth understanding of Windows operating systems and general knowledge of Unix, Linux, and Mac operating systems

Bonus Points:

• Proficient in Python or Golang, capable of writing modular code that can be installed on a remote system
• Proficient with Yara and writing rules to detect similar malware samples
• Understanding of source code, hex, binary, regular expression, data correlation, and analysis such as network flow and system logs
• Practical malware analysis experience with static, dynamic, and automated malware analysis techniques
• Possess mid-level experience as a Malware Analyst able to reverse engineer various file formats and analyze complex malware samples
• Reverse engineering experience with APT malware with an understanding of common infection vectors
• Knowledgeable of current malware techniques to evade detection and obstruct analysis
• Experience writing malware reports on unique and interesting aspects of malware
• Experience with malware attribution
• Experience with tracking and identifying threats through Indicator of Compromise (IOCs) pivoting and infrastructure enumeration
• Familiarity with bash command line executables to conduct static analysis and investigate IOCs

Travel requirements

Ability to travel up to 20% of the time

Position may require foreign and domestic travel, passport will be required

XML job scraping automation by YubHub

As Anthropic scales its infrastructure across massive GPU, TPU, and Trainium clusters, the volume and complexity of operational data is growing by orders of magnitude. We're building next-generation observability systems,high-throughput ingest pipelines, cost-efficient columnar storage, unified query layers across signals, and agentic diagnostic tools,to ensure that engineers can detect, diagnose, and resolve issues in minutes rather than hours, even as the systems they operate become exponentially more complex.

Responsibilities:

• Design and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across Anthropic's multi-cluster infrastructure
• Own and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organisational growth
• Build instrumentation libraries, SDKs, and integrations that make it easy for engineering teams to emit high-quality telemetry from their services
• Drive alerting and SLO infrastructure that enables teams to define, monitor, and respond to reliability targets with minimal noise
• Reduce mean time to detection and resolution by building cross-signal correlation, unified query interfaces, and AI-assisted diagnostic tooling
• Partner with Research, Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organisation

You May Be a Good Fit If You:

• Have 10+ years of relevant industry experience building and operating large-scale observability or monitoring infrastructure
• Have deep experience with at least one observability signal area (metrics, logging, tracing, or error analytics) and familiarity with the others
• Understand high-throughput data pipelines, columnar storage engines, and the tradeoffs involved in ingesting and querying telemetry data at scale
• Have experience operating or building on top of observability platforms such as Prometheus, Grafana, ClickHouse, OpenTelemetry, or similar systems
• Have strong proficiency in at least one of Python, Rust, or Go
• Have excellent communication skills and enjoy partnering with internal teams to improve their operational visibility and incident response capabilities
• Are excited about building foundational infrastructure and are comfortable working independently on ambiguous, high-impact technical challenges

Strong Candidates May Also Have:

• Experience operating metrics systems at very high cardinality (hundreds of millions of active time series or more)
• Experience with log storage migrations or operating columnar databases (ClickHouse, BigQuery, or similar) for analytics workloads
• Experience with OpenTelemetry instrumentation, collector pipelines, and tail-based sampling strategies
• Experience building or operating alerting platforms, on-call tooling, or SLO frameworks at scale
• Experience with Kubernetes-native monitoring, eBPF-based observability, or continuous profiling
• Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting

The annual compensation range for this role is $405,000-$485,000 USD.

XML job scraping automation by YubHub

You will also design and deploy robust supporting security tools for managing and assessing security state, integrate with third-party applications, and interact with cloud APIs (AWS, Azure, GCP, Terraform). Additionally, you will plan and lead end-to-end projects supporting data collection and integration with vulnerability and threat detection efforts.

To succeed in this role, you will need 8+ years of software engineering experience, with 4+ years specifically in security-related engineering. You should have experience with Python, Git/GitHub, and CI/CD automation, and Terraform. Expertise in securing at least one major cloud environment (AWS, Azure, GCP) is also required. Experience with software security and systems that handle sensitive data, as well as data correlation engine, is preferred.

As a leader on our team, you will be expected to mentor peers, drive strategic initiatives, and influence the organization's security direction. You should have excellent communication skills, with the ability to collaborate effectively across teams and present complex ideas clearly to stakeholders at all levels.

XML job scraping automation by YubHub

As a senior member of the Mechanical Engineering team, you will own the design and development of high-performance structural systems, from clean-sheet concepts to production-ready hardware.

Key responsibilities include:

• Leading the design and development of structural components and assemblies for Shield AI's next-gen UAV platform, with a focus on primary and secondary aircraft structures.

• Owning the structural design lifecycle including concept generation, CAD modeling, detail design, and drawing release, ensuring high quality and traceability.

• Using FEA tools to perform and guide linear and nonlinear structural analysis, stress analysis, and margin assessment under operational loads and edge cases.

• Working closely with aerodynamics, propulsion, avionics, payload, and manufacturing teams to ensure seamless system integration across airframe and subsystem interfaces.

• Supporting and leading efforts in material selection, focusing on composites, aluminum alloys, and advanced manufacturing approaches suited to mission and environment.

• Participating in and leading design reviews, architecture discussions, and technical decision-making forums related to structural systems.

• Overseeing the design and execution of structural validation testing, including coupon-level, subcomponent, and full-system testing.

• Guiding the development of design documentation, analysis reports, interface definitions, and verification plans in compliance with MIL-STD, FAA, and internal Shield AI standards.

• Mentoring junior engineers and reviewing team members' work for technical rigor, performance, and manufacturability.

• Collaborating with the manufacturing and flight test teams to transition designs from engineering to production and field deployment.

• Identifying opportunities to improve design processes, configuration management, and team workflows for increased engineering velocity and design quality.

This role is ideal for an experienced aerospace mechanical engineer who thrives in fast-paced, high-ownership environments and is passionate about building systems that matter.

Required qualifications include:

• Bachelor's or Master's degree in Mechanical Engineering, Aerospace Engineering, or a related discipline.

• 10+ years of experience in aircraft structural design, with demonstrated ownership of components or systems in development, test, or production.

• Deep understanding of composite and metallic structures, including material behavior, joints, and thermal/environmental effects.

• Expertise in CAD tools (NX, CATIA, or SolidWorks) and FEA tools (ANSYS, Abaqus, NASTRAN, or similar).

• Experience conducting or overseeing stress analysis, fatigue analysis, and design optimization.

• Strong working knowledge of DFMA, GD&T, tolerance stackups, and structural layout principles.

• Clear, concise technical communication skills and experience leading cross-functional engineering efforts.

• A track record of technical excellence, high ownership, and a mission-driven mindset in challenging engineering environments.

Preferred qualifications include:

• M.S. degree in Aerospace or Mechanical Engineering.

• Strong NX CAD skills.

• Experience supporting or leading Group 3–5 UAV, DoD aircraft, or high-performance aerospace vehicle programs.

• Knowledge of aerospace standards (MIL-STD, ASME Y14.5, FAA FARS) and certification pathways.

• Prior experience in flight vehicle integration, manufacturing liaison, or production support.

• Familiarity with model-based engineering, digital twin development, or configuration management tools.

• Demonstrated experience in failure analysis, design iteration, and test correlation.

• Previous work in startup, R&D, or high-growth defense environments where agility and innovation are key.

Salary: $166,632 - $249,948 a year

XML job scraping automation by YubHub

As a senior member of the Mechanical Engineering team, you will own the design and development of high-performance structural systems, from clean-sheet concepts to production-ready hardware.

You'll work across disciplines to ensure structural integrity, manufacturability, and mission-readiness in one of the most advanced autonomous aircraft platforms being built today.

This role is ideal for an experienced aerospace mechanical engineer who thrives in fast-paced, high-ownership environments and is passionate about building systems that matter.

Responsibilities:

• Lead the design and development of structural components and assemblies for Shield AI's next-gen UAV platform, with a focus on primary and secondary aircraft structures.

• Own the structural design lifecycle including concept generation, CAD modeling, detail design, and drawing release, ensuring high quality and traceability.

• Use FEA tools to perform and guide linear and nonlinear structural analysis, stress analysis, and margin assessment under operational loads and edge cases.

• Work closely with aerodynamics, propulsion, avionics, payload, and manufacturing teams to ensure seamless system integration across airframe and subsystem interfaces.

• Support and lead efforts in material selection, focusing on composites, aluminum alloys, and advanced manufacturing approaches suited to mission and environment.

• Participate in and lead design reviews, architecture discussions, and technical decision-making forums related to structural systems.

• Oversee the design and execution of structural validation testing, including coupon-level, subcomponent, and full-system testing.

• Guide the development of design documentation, analysis reports, interface definitions, and verification plans in compliance with MIL-STD, FAA, and internal Shield AI standards.

• Mentor junior engineers and review team members' work for technical rigor, performance, and manufacturability.

• Collaborate with the manufacturing and flight test teams to transition designs from engineering to production and field deployment.

• Identify opportunities to improve design processes, configuration management, and team workflows for increased engineering velocity and design quality.

Qualifications:

• Bachelor's or Master's degree in Mechanical Engineering, Aerospace Engineering, or a related discipline.

• 10+ years of experience in aircraft structural design, with demonstrated ownership of components or systems in development, test, or production.

• Deep understanding of composite and metallic structures, including material behavior, joints, and thermal/environmental effects.

• Expertise in CAD tools (NX, CATIA, or SolidWorks) and FEA tools (ANSYS, Abaqus, NASTRAN, or similar).

• Experience conducting or overseeing stress analysis, fatigue analysis, and design optimization.

• Strong working knowledge of DFMA, GD&T, tolerance stackups, and structural layout principles.

• Clear, concise technical communication skills and experience leading cross-functional engineering efforts.

• A track record of technical excellence, high ownership, and a mission-driven mindset in challenging engineering environments.

Preferred Qualifications:

• M.S. degree in Aerospace or Mechanical Engineering.

• Strong NX CAD skills.

• Experience supporting or leading Group 3–5 UAV, DoD aircraft, or high-performance aerospace vehicle programs.

• Knowledge of aerospace standards (MIL-STD, ASME Y14.5, FAA FARS) and certification pathways.

• Prior experience in flight vehicle integration, manufacturing liaison, or production support.

• Familiarity with model-based engineering, digital twin development, or configuration management tools.

• Demonstrated experience in failure analysis, design iteration, and test correlation.

• Previous work in startup, R&D, or high-growth defense environments where agility and innovation are key.

XML job scraping automation by YubHub

This is a multi-level role where the level of responsibility is tailored to the candidate. You'll work across disciplines to ensure structural integrity, manufacturability, and mission-readiness in one of the most advanced autonomous aircraft platforms being built today.

Responsibilities:

• Lead the design and development of structural components and assemblies for Shield AI's next-gen UAV platform, with a focus on primary and secondary aircraft structures.
• Own the structural design lifecycle including concept generation, CAD modeling, detail design, and drawing release, ensuring high quality and traceability.
• Use FEA tools to perform and guide linear and nonlinear structural analysis, stress analysis, and margin assessment under operational loads and edge cases.
• Work closely with aerodynamics, propulsion, avionics, payload, and manufacturing teams to ensure seamless system integration across airframe and subsystem interfaces.
• Support and lead efforts in material selection, focusing on composites, aluminum alloys, and advanced manufacturing approaches suited to mission and environment.
• Participate in and lead design reviews, architecture discussions, and technical decision-making forums related to structural systems.
• Oversee the design and execution of structural validation testing, including coupon-level, subcomponent, and full-system testing.
• Guide the development of design documentation, analysis reports, interface definitions, and verification plans in compliance with MIL-STD, FAA, and internal Shield AI standards.
• Mentor junior engineers and review team members' work for technical rigor, performance, and manufacturability.
• Collaborate with the manufacturing and flight test teams to transition designs from engineering to production and field deployment.
• Identify opportunities to improve design processes, configuration management, and team workflows for increased engineering velocity and design quality.

Requirements:

• Bachelor's or Master's degree in Mechanical Engineering, Aerospace Engineering, or a related discipline.
• 2+ years of experience in aircraft structural design, with demonstrated ownership of components or systems in development, test, or production.
• Deep understanding of composite and metallic structures, including material behavior, joints, and thermal/environmental effects.
• Expertise in CAD tools (NX, CATIA, or SolidWorks) and FEA tools (ANSYS, Abaqus, NASTRAN, or similar).
• Experience conducting or overseeing stress analysis, fatigue analysis, and design optimization.
• Strong working knowledge of DFMA, GD&T, tolerance stackups, and structural layout principles.
• Clear, concise technical communication skills and experience leading cross-functional engineering efforts.
• A track record of technical excellence, high ownership, and a mission-driven mindset in challenging engineering environments.

Preferences:

• M.S. degree in Aerospace or Mechanical Engineering.
• NX CAD experience
• Experience supporting or leading Group 3–5 UAV, DoD aircraft, or high-performance aerospace vehicle programs.
• Knowledge of aerospace standards (MIL-STD, ASME Y14.5, FAA FARS) and certification pathways.
• Prior experience in flight vehicle integration, manufacturing liaison, or production support.
• Familiarity with model-based engineering, digital twin development, or configuration management tools.
• Demonstrated experience in failure analysis, design iteration, and test correlation.
• Previous work in startup, R&D, or high-growth defense environments where agility and innovation are key.

XML job scraping automation by YubHub

Our Hardware Engineers at Synopsys are responsible for designing and developing cutting-edge semiconductor solutions. They work on intricate tasks such as chip architecture, circuit design, and verification to ensure the efficiency and reliability of semiconductor products. These engineers play a crucial role in advancing technology and enabling innovations in various industries.

Job Description

Category

Engineering

Hire Type

Employee

Job ID

15231

Remote Eligible

No

Date Posted

02/15/2026

We Are:

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

You Are:

• An experienced and passionate Analog and Mixed-Signal (A&MS) Senior Circuit Design Expert with a strong background in PLL , data converters and SERDES design.

• You have a deep understanding of mixed-signal techniques for dynamic and static power reduction, performance enhancement, and area reduction.

• Your expertise includes circuit architectures simulation, circuit layout, and knowledge of bipolar, CMOS, passive network and interconnect parasitic impact in advanced finfet technology nodes.

• You excel in developing Analog Full custom circuit macros, such as PLLs, Clock Path Functions, clocking solutions, TX/RX datapaths, and power management and regulation for High Speed PHY IP, in both planar and fin-fet CMOS technology.

• You thrive in collaborative environments, working closely with silicon test and debug experts to advance quality through Sim2Sil correlation.

• You are also passionate about building and nurturing key analog design talent to grow business impact through successful project execution.

What You’ll Be Doing:

• Leading NRZ/PAM4 Serdes analog design transceiver solutions.

• Developing Analog Full custom circuit macros for High Speed PHY IP in advanced technology nodes.

• Collaborating with silicon test and debug experts for Sim2Sil correlation.

• Analyzing various mixed signal techniques for power reduction, performance enhancement, and area reduction.

The Impact You Will Have:

• Driving innovation in mixed-signal advanced analog serdes design.

• Enhancing the performance and efficiency of high-speed physical interfaces.

• Contributing to the development of cutting-edge technology in High Speed PHY IP.

• Improving quality and robustness of design through collaboration and Sim2Sil correlation.

What You’ll Need:

• BE 15+ years of relevant experience or MTech 12+ years of relevant experience in mixed signal analog, clock, and datapath circuit design.

• Experience in designing Charge-pump-based PLLs, Fractional-N PLLs, Digital PLLs, XTAL oscillators, and LO generation circuits.

• Knowledge in Equalizers , CDR architectures , high-speed digital circuit design , timing/phase noise analysis, signal integrity .

• Knowledge of RF architecture and blocks such as transceivers front-end , VCOs, LNA, and up/down converters

Who You Are:

• Strong fundamentals of CMOS, device physics, and sub-micron design methodologies.

• Experience with PLL designs and high-speed digital circuit design.

• Knowledge of control systems, band gaps, bias, op-amps, LDOs, and feedback techniques.

• Familiarity with digitally assisted analog circuit techniques.

• Capable to drive technical decision and tradeoff with customer focus

The Team You’ll Be A Part Of:

Join our High-Performance Computing (HPC) Enterprise analog/mixed-signal Serdes team involved in cutting-edge High Speed PHYSICAL Interface Development.

You will work with experienced teams locally and with colleagues from various sites across the globe, fostering a collaborative and innovative environment.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

Benefits

At Synopsys, innovation is driven by our incredible team around the world. We feel honored to work alongside such talented and passionate individuals who choose to make a difference here every day. We're proud to provide the comprehensive benefits and rewards that our team truly deserves.

Visit Benefits Page

• ### Health & Wellness

Comprehensive medical and healthcare plans that work for you and your family.

• ### Time Away

In addition to company holidays, we have ETO and FTO Programs.

• ### Family Support

Maternity and paternity leave, parenting resources, adoption and surrogacy assistance, and more.

• ### ESPP

Purchase Synopsys common stock at a 15% discount, with a 24 month look-back.

• ### Retirement Plans

Save for your future with our retirement plans that vary by region and country.

• ### Compensation

Competitive salaries.

\\ Benefits vary by country and region - check with your recruiter to confirm

Get an idea of what your daily routine around the office can be like

\ Explore Noida

View Map

---

XML job scraping automation by YubHub

Anthropic is seeking talented and experienced Software Engineers to join our Observability team within the Infrastructure organisation. The Observability team owns the monitoring and telemetry infrastructure that every engineer and researcher at Anthropic depends on—from metrics and logging pipelines to distributed tracing, error analytics, alerting, and the dashboards and query interfaces that make it all actionable.

Responsibilities

• Design and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across Anthropic's multi-cluster infrastructure
• Own and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organisational growth
• Build instrumentation libraries, SDKs, and integrations that make it easy for engineering teams to emit high-quality telemetry from their services
• Drive alerting and SLO infrastructure that enables teams to define, monitor, and respond to reliability targets with minimal noise
• Reduce mean time to detection and resolution by building cross-signal correlation, unified query interfaces, and AI-assisted diagnostic tooling
• Partner with Research, Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organisation

You May Be a Good Fit If You:

• Have 10+ years of relevant industry experience building and operating large-scale observability or monitoring infrastructure
• Have deep experience with at least one observability signal area (metrics, logging, tracing, or error analytics) and familiarity with the others
• Understand high-throughput data pipelines, columnar storage engines, and the tradeoffs involved in ingesting and querying telemetry data at scale
• Have experience operating or building on top of observability platforms such as Prometheus, Grafana, ClickHouse, OpenTelemetry, or similar systems
• Have strong proficiency in at least one of Python, Rust, or Go
• Have excellent communication skills and enjoy partnering with internal teams to improve their operational visibility and incident response capabilities
• Are excited about building foundational infrastructure and are comfortable working independently on ambiguous, high-impact technical challenges

Strong Candidates May Also Have:

• Experience operating metrics systems at very high cardinality (hundreds of millions of active time series or more)
• Experience with log storage migrations or operating columnar databases (ClickHouse, BigQuery, or similar) for analytics workloads
• Experience with OpenTelemetry instrumentation, collector pipelines, and tail-based sampling strategies
• Experience building or operating alerting platforms, on-call tooling, or SLO frameworks at scale
• Experience with Kubernetes-native monitoring, eBPF-based observability, or continuous profiling
• Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses.

XML job scraping automation by YubHub

What you'll do

Supporting the development and validation of high-performance engines.

• Conducting data analysis, IC Engine calibration, dyno testing, and performance correlation activities.

What you need

• Thorough understanding of internal combustion engines and their systems.

XML job scraping automation by YubHub