Distinguished Engineer Job at Atlassian (Seattle)

Distinguished Technologist, Cloud Development (AI/ML)

Joining our HPE Hybrid Cloud team and working as part of our OpsRamp team is a c...

Location

United States , San Jose

Salary:

164500.00 - 398500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

15+ years of relevant experience in the industry delivering technical and business strategy at an advanced/strategist level
Master's, or PhD degree in Computer Science, Information Systems, Engineering, or equivalent
At least 4 years of hands-on expertise in defining, building, training and / or optimizing foundational deep learning models at scale in PyTorch, HF and other ML frameworks and libraries
Experience and/or deep understanding in various deep learning architectures like CNNs, GNNs, Transformers, Reinforcement Learning etc. is a strong advantage
Strong hands-on experience/understanding in pre-training, fine-tuning, distilling, aligning open-source large language models and have them complement the in-house foundational models
Hands-on experience developing multi-agent applications around a mixture of in-house and open-source models while leveraging latest in RAG and Prompt Engineering tooling techniques
Strong customer focus and obsession with improving service availability/performance and user experience/consumption using measurable SRE metrics
Must have a track record of working alongside other engineering teams architecting, building, and deploying mission-critical, highly distributed, large-scale SaaS applications
Must have strong knowledge of application failure modes, resiliency patterns, and techniques to enable robust, self-healing architecture
Effective technical leadership skills to influence diverse groups to move toward common goals/strategies

Job Responsibility

Lead strategy and innovation across OpsRamp’s Intelligent Observability portfolio
Champion HPE OpsRamp’s position with HPE customers and GTM partners externally and HPE internal cross-functional stakeholders
Drive technical strategy for emerging GenAI trends across Hybrid Observability and AIOps for cloud-scale modern applications
Design and introduce new products to the market
Provide consultation, design input, and feedback for product development and design reviews
Transition proof-of-concept implementations into R&D teams to accelerate new product delivery
Guide and mentor less-experienced staff members.

What we offer

Health and wellbeing benefits
Career development programs
Diversity, inclusion, and belonging initiatives.

Fulltime

Distinguished Engineer

As part of the Hardware Engineering organization, you’ll join the Antenna Engine...

Location

United States , Sunnyvale

Salary:

182000.00 - 256000.00 USD / Year

CommScope

Expiration Date

Until further notice

Requirements

Ph.D. in Electrical Engineering (antenna focus) preferred
Master’s Degree with relevant experience considered
10+ years of experience with antenna design
Deep understanding of antenna fundamentals and RF principles
Expertise with HFSS, CST, or similar modeling tools
Hands-on skills in antenna prototyping, soldering, and breadboard assembly
Proficiency with lab equipment: spectrum/network analyzers, signal generators, and antenna measurement ranges
Strong problem-solving and debugging skills for RF and wireless systems
Experience with Wi-Fi, Bluetooth, LTE technologies
Familiarity with circuit analysis and layout tools

Job Responsibility

Provide technical leadership and own antenna designs for Access Points and other wireless products across 500 MHz to 7 GHz
Lead antenna engineering projects from concept to production
Use advanced simulation tools (e.g., HFSS, CST) to design PCB antennas, discrete antennas, and antenna arrays
Validate designs through simulation and measurement, ensuring optimal system performance
Develop antenna requirements and contribute to system-level specifications for new products
Adapt existing designs for new applications through simulation and hands-on optimization
Collaborate with PCB layout and mechanical teams to refine prototypes for high-volume production
Debug RF and antenna subsystem issues in partnership with RF engineers
Perform root cause analysis and statistical evaluations for production readiness
Support compliance testing and guide products through regulatory certification

What we offer

medical, dental, and vision plans
life and accidental death insurance
a 401(k) plan
participation in the Company’s Incentive Plan
eleven paid holidays in a full calendar year
two weeks of paid vacation
other leave options

Fulltime

Distinguished AI Engineer

At Capital One, we are creating responsible and reliable AI systems, changing ba...

Location

United States , McLean; Richmond; San Jose; Cambridge; New York; San Francisco

Salary:

244700.00 - 335100.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies
At least 8 years of experience programming with Python, Go, Scala, or Java
8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems
Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers

Job Responsibility

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One

What we offer

performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Fulltime

Sr. Distinguished AI Engineer

At Capital One, we are creating responsible and reliable AI systems, changing ba...

Location

United States , Cambridge, Massachusetts; New York, New York; Richmond, Virginia; San Jose, California; McLean, Virginia; San Francisco, California

Salary:

280600.00 - 384200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies
At least 10 years of experience programming with Python, Go, Scala, or Java

Job Responsibility

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One

What we offer

comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

Fulltime

New

Cloud Storage Engineer - Senior Vice President

We are seeking a highly accomplished Senior Lead cloud engineer within Cloud Sto...

Location

United States , Irving

Salary:

156160.00 - 234240.00 USD / Year

Citi

Expiration Date

January 20, 2026

Requirements

10+ years of progressive and distinguished experience in cloud infrastructure engineering
Minimum of 3+ years operating at a senior leadership level, directly responsible for defining and executing cloud strategy for a large-scale enterprise
Strong understanding of modern software development practices
Proficiency in at least one modern programming language (e.g., Python, Go, Java)
Deep, demonstrable expertise in architecting, deploying, and managing enterprise-grade cloud storage across multiple public cloud providers (GCP and AWS preferred)
Experience with containerization and orchestration technologies (Kubernetes, GKE, EKS) and their integration with resilient data storage patterns
Exceptional strategic thinking and problem-solving abilities
Proven experience leading, building, and motivating high-performing teams/individuals within a fast-paced, highly regulated environment
Bachelor’s degree/University degree in Computer Science, Engineering, or a related field required
Master’s degree in a technical discipline or MBA preferred

Job Responsibility

Strategic Vision & Roadmap: Define and articulate the comprehensive vision, strategy, and multi-year roadmap for cloud storage engineering across Citi's global public cloud footprint (GCP and AWS)
Code Contribution & Review: Maintain hands-on proficiency by strategically contributing to key codebases, performing high-level code reviews, and providing technical guidance on Python-based solutions
Technical Leadership & Mentorship: Provide expert technical leadership, guidance, and mentorship across engineering teams
Executive Stakeholder Management & Influence: Engage with and influence senior executives, business leaders, and key stakeholders across Citi to champion the cloud storage strategy
Strategic Resource Management: Strategically influence or directly manage the allocation of significant financial and human capital resources

What we offer

Discretionary and formulaic incentive and retention awards
Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Fulltime