Staff Engineer jobs

Essential Responsibilities:

• Develop clear objectives and priorities within content design to deliver results and meet organizational goals
• Influence decision-making at the senior leadership level
• Perform the most highly complex work assignments using domain knowledge and extensive business expertise
• Develop and deliver innovative content design strategies that enhance user experience and benefit customers and/or clients
• Lead major business projects which impact the content design unit or the product function
• Design, evaluate, and select process, product, and service improvements based on thorough understanding of business needs and industry trends

Expected Qualifications:

• 8+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Develop and optimize machine learning models for various applications.
• Preprocess and analyze large datasets to extract meaningful insights.
• Deploy ML solutions into production environments using appropriate tools and frameworks.
• Collaborate with cross-functional teams to integrate ML models into products and services.
• Monitor and evaluate the performance of deployed models.

Expected Qualifications:

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
• Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
• Several years of experience in designing, implementing, and deploying machine learning models.

Key Responsibilities:

• Research and develop large-scale foundation models, including continuous pre-training, supervised fine-tuning, and alignment techniques

• Design novel architectures and training methodologies for domain-specific language models in financial services

• Build scalable ML pipelines for foundation model training, evaluation, and deployment at enterprise scale

• Conduct rigorous experimentation and benchmarking to ensure model quality, safety, and performance

• Deploy foundation models into production environments to drive business insights and enhance customer experiences

• Collaborate with cross-functional teams to identify high-impact use cases and translate research into practical solutions

• Stay current with latest developments in LLM and LLM-Agent research and contribute to the broader AI/ML community through publications and open-source contributions

• Mentor junior researchers and contribute to technical strategy for foundation model initiatives

Preferred Qualifications:

• PhD in Computer Science, Machine Learning, AI, or related field with focus on large language models and LLM Agent

• 1-3+ years of hands-on experience training and deploying large-scale language models (7B+ parameters)

• Deep expertise in transformer architectures, attention mechanisms, and modern training techniques

• Experience with distributed training frameworks (PyTorch, JAX, DeepSpeed, etc.)

• Strong background in NLP, deep learning, and statistical machine learning

• Proven track record of research publications in top-tier venues (NeurIPS, ICML, ACL, etc.)

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Acts as a project or system leader, coordinating the activities of other engineers on the project or within the system
• Determines the technical tasks that other engineers will follow
• Actions result in the achievement of customer, operational, program or service objectives
• Proactively improves existing structures & processes
• Exercises judgement in reconciling diverse and competing priorities (time, quality, complexity risk) to identify optimal solutions to problems
• Notices patterns and condenses repetition into densely meaningful generalized solutions
• Collaborates with management to set/improve standards for engineering rigor
• Trusted to represent PayPal, Inc to the outside world via interactions with partners, customers, or industry organizations

Expected Qualifications:

• 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

• Experience in Spring boot and other frameworks in Java or python
• Experience in UI stack such as react or other
• Experience with large-scale, high-performance systems.
• Experience in running large scale CI/CD pipelines using Jenkins, Github or Harness
• Experience with cloud platforms (AWS, GCP, Azure).

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

Our Benefits:

Any general requests for consideration of your skills, please

Our Electrical Engineering team puts the spark into the full hardware development lifecycle, from concept to production. It takes experts in system architecture definition, design, analysis, prototyping, sourcing & the debugging and validation of layouts or routes to deliver state-of-the-art products for a changing world. We work closely with designers, cross-functional teams within Dell Technologies and suppliers to make sure electronic designs meet a range of requirements, including schedule, feature set, functionality and quality, as well as industry standards.

You will:

• Partner with Dell internal platform and graphics development engineering teams to manage onboard and add-in graphics program deliverables

• Lead/guide graphics technology providers and ODM partners on debug and resolution of hardware, software, and firmware issues with graphics controller cards

• Work with multiple internal teams including product quality, platform engineering, product marketing, program management, regulatory engineering, and other teams to debug/ resolve issues

• Support the commodity-level internal core teams with product issue management and resolution and engineering guidance on issue triage and program schedule

• Manage resources at external suppliers including AMD, nVidia, Intel, and platform ODM partners to facilitate debug and resolution of issues and delivery of graphics controllers on Time-To-Market schedules

• Subject matter expert in graphics controllers, graphics drivers & firmware, and OS application interaction with graphics devices

Essential Requirements

• Strong technical leadership capabilities

• Proactive attitude to issue resolution and engagement with peer and global teams and suppliers to quickly resolve issues

• Self-starter mentality, able to quickly recognize and triage issues.

• High level focus on customer experience and customer satisfaction.

• 5+ years industry experience with a Bachelor’s Degree or 3+ years’ experience with a Master’s Degree (Dell experience is a plus) in Engineering/Computer Science degree

Desirable Requirements

• Understanding of and familiarity with the ODM development model

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Impact

• Enablement of the TAC teams - Assist with both ad hoc Q&A and structured training throughout the year

• Ownership of critical issues. This doesn’t always mean being responsible for the case, the focus is on the technical driver of the case the customer calls about. This usually means working with the TAC case owner and engineering on a replication or verification, sending guidelines and communicating updates

• New product development - combine the responsibility of continuing our state-of-the-art technical knowledge and skills learned from prior technical support, an Enablement engineer will identify supportability and usability requirements for new products during the design phase as well as post GA via enhancement requests

• Develop and deliver training materials for TAC. Training is a key component of the day-to-day success of support. An Enablement engineer is responsible for staying up to date with technical details on Palo Alto Networks new products and industry in general and sharing those details with TAC via white papers, BBLs, or TOIs

• Develop tools for TAC – For better visibility and troubleshooting

• Filling in the gaps. Sometimes there are opportunities to “catch” a problem before it escalates. Our team is positioned to identify or help in these unplanned projects that result in a better customer experience, cost reduction or better security

Your Experience

• Experience: 7+ years in support roles, working directly with large global customers and partners in addition to internal teams (such as DevOps, Engineering, QA, Product managers..)

• Experience as an Enablement Engineer or an Escalations Engineer is a plus

• Experience working with Public Cloud provider technologies and services (AWS, Azure, GCP, OCI, Alibaba, etc..).

• Excellent written and verbal communication skills

• Scripting skills (JS/Python/Powershell)

• Strong proficiency in both Linux and Windows operating systems

• Kubernetes implementation and troubleshooting experience is required

• Experience training internal technical teams is a plus

You’ll be involved in implementing new products, transitioning from old products to new, and fixing integrations and critical issues as they are raised — in fact, you’ll seek them out to ensure our clients are safely supported. We fix and identify technical problems, with a pointed focus on providing the best customer support in the industry.

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $123200 - $199100/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

All your information will be kept confidential according to EEO guidelines.

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Impact

• Collaborate with product managers, cybersecurity researchers, AI application researchers and infrastructure software engineers
• Design and build an innovative and solid products to ensure our customers can use AI service securely
• Participate in all phases of the product development cycle, from definition, design, through implementation and test
• Implement real-time security services to customers
• Work with PLM on new feature requirement
• Work with QA and DevOps on new release deployment

Your Experience

• Solid golang/python programming skills
• Solid knowledge on HTTP 1.1/HTTP2 protocols and gRPC
• Profound knowledge on web service proxy technology especially on envoy and web assembly
• Experience in designing large distributed system and web services in the cloud
• Deep knowledge in GCP platform is a plus
• Familiar with major CSP LLM foundation models is a plus
• The candidate should be a good problem solver
• Master's degree in computer science or equivalent or equivalent military experience required

We define the industry, instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $0 - $0/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

All your information will be kept confidential according to EEO guidelines.

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Career

As a Senior Technical Support Engineer, you will engage directly with our valued customers to address intricate post-sales concerns. Your role involves in-depth evaluation of multifaceted scenarios, employing critical thinking to understand methods, techniques, and evaluation criteria for obtaining results. Networking with key contacts beyond your domain of expertise will be routine, and your knack for explaining complex technical issues to both technical and non-technical professionals will be a strong asset.

Under Focused Services, you will be a designated customer advocate who will assist in providing tailored support, weekly reviews, root cause analysis for critical issues, release review and upgrade planning, and a quarterly business review. You will provide personalized support and become deeply familiar with your implementation and business priorities to proactively drive best practices and help you continuously improve your security posture.

You will actively contribute to technical discussions within cross-functional teams, fostering transparency that drives product improvement, enriches work environments, and enhances cybersecurity. Your prompt support for our clients ensures swift resolution to keep their environments secure. This requires you to move swiftly and thoughtfully, providing technical assistance even in high-pressure situations.

Your Impact

• Offer technical support to customers and partners
• Effectively manage support cases from recording to resolution, including timely follow-ups
• Conduct fault isolation and root cause analysis for technical issues
• Author Technical Support Bulletins and other technical documentation in the Knowledge Base
• Review technical content for training, marketing, manuals, and troubleshooting guides
• Travel to customer sites for critical situations, expediting resolutions as needed
• Provide configurations, troubleshooting, and best practices to customers
• Collaborate with the Engineering team to influence product operability
• Participate in weekend on-call rotation and provide after-hours support as required
• Communicate complex technical issues effectively to internal and external stakeholders
• Provide support that includes mandatory weekend, holiday shift work and on-call support. Support includes a blend of as-needed and rotational coverage, which is subject to change.

Your Experience

• Previous experience in at least one customer-facing technical support position as Senior Support Engineer or as Escalations Engineer
• Proficiency with Windows OS, Linux OS, iOS, Android OS, and macOS applications (Installation, troubleshooting, debugging), along with deployment tools (SCCM, GPO, AD, JAMF)
• Analytical troubleshooting skills in Linux, displaying problem-solving abilities
• Strong proficiency in software and infrastructure troubleshooting, testing, and debugging
• Independent troubleshooting ability in diverse, complex environments with mixed applications and protocols
• Familiarity with Internet-based technologies including DNS, Security, IP Routing, SSH, FTP, HTTP/HTTPS, Email Routing
• Familiarity with SOAR platforms - writing new and expanding new playbooks using automation and scripting tools.
• Knowledge of IP network technologies and performance monitoring/troubleshooting software tools (Datadog, Cloud Watch - advantageous)
• Intermediate knowledge of SIEM tools for parsing, correlation, data modeling, and dashboards
• Exposure to SIEM, vulnerability management tools, and firewalls
• Experience working in a collaborative, 24x7 uptime environment with on-call responsibilities
• Comfortable collaborating across diverse cross-functional teams with open communication
• Previous experience in a customer-facing technical support role (Support Engineer) - advantageous
• Fundamental understanding of Kubernetes, GCP, and AWS for troubleshooting cloud agent deployment and data extraction
• Basic scripting knowledge (JS/Python/PowerShell, SQL/XDL/SPL) to troubleshoot playbooks and extract data from various datasets (advantageous)
• A bachelor's degree in computer science or related discipline or equivalent military experience required (advantageous)

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $108,000/YR - $162,000YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

All your information will be kept confidential according to EEO guidelines.