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Lead Forward Deployed Engineer
The Boeing Company
Seattle, WA · Berkeley, MO · Hazelwood, MO · Ridley Park, PA
Boeing Defense, Space and Security (BDS) is looking for an Lead Forward Deployed Engineer to join our growing Data Analytics Engineering & Integration team in Ridley Park, PA; Seattle, WA;…
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Wire Design & Install Engineer (Experienced, Lead or Senior)
The Boeing Company
Oklahoma City, OK
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Software Engineer, Backend
NY
- $180,000 to $260,000 USD / year
Senior+ level: Define the foundational architecture and engineering patterns used across teams, lead the most complex cross-cutting initiatives (including major migrations and…
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Software Engineer, AI Agents
NY
- $180,000 to $260,000 USD / year
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Added 3 mins ago
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Mechanical Designers & Checkers-Kiewit Nuclear Solutions-Multiple Locations
Kiewit
Idaho Falls, ID · Oak Ridge, TN · Houston, TX · Lenexa, KS
- $133,000 to $139,000 USD / year
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Added 4 mins ago
Sr Director, Software Engineer
NetApp
San Jose
The Senior Director of Engineering will build and lead the engineering organization responsible for defining, building, and delivering complex data and AI infrastructure software. This is a…
Added 5 mins ago
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Director of Refrigeration
Pacific Seafood
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Lead or assist in the development and implementation of the identified improvements or changes.
Added 6 mins ago
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…direct influence on company growth, and the opportunity to lead landmark developments in a rapidly expanding South Florida construction…
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Sr. Wireless Network Engineer
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- $60 to $75 USD / hour
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Sr. Wireless Network Engineer
TEKsystems
Salisbury, NC
- $60 to $75 USD / hour
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Added 6 mins ago
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Mechanical Design Engineer (CATIA)
Actalent
Middle River, MD
- $48.07 to $67.31 USD / hour
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Maintainability Engineer
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Project Manager (Onsite/Hybrid-HVAC, Plumbing, Mechanical) - Mississippi
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Lead day-to-day project management activities to ensure successful delivery of scope, schedule, budget, safety, and quality objectives.
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Project Manager (Civil / Site Works)
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Traveling Project Manager (Civil / Site Works)
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Senior Software Consultant
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Added 8 mins ago
Wire Design & Install Engineer (Experienced, Lead or Senior)
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Senior Technical Program Manager ID98059
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AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like…
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Senior Technical Program Manager ID98059
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Chicago, IL
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NetApp, Inc.

Sr Director, Software Engineer

San Jose, CA, United States

The target salary range for this position is 266,050 - 396,000 USD.

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Job details

Pay: The target salary range for this position is 266,050 - 396,000 USD.
Posting language: English
Posted: Nov 6, 2026

Original job description

Job Summary

About DataPelago and NetApp

DataPelago is building a new data-processing platform applying accelerated computing for the AI era. Its technology is designed to accelerate analytics and AI workloads by bringing high-performance compute closer to enterprise data.

Following its acquisition by NetApp, DataPelago combines the ownership, pace, and influence of an early-stage company with NetApp's global customer reach, resources, and enterprise relationships. DataPelago will continue operating with a focused, startup-style model while it builds a scalable business and go-to-market motion.

This is a zero-to-one environment. We are looking for builders who are energized by ambiguity, move quickly, work directly with customers, and take ownership beyond traditional role boundaries. The strongest candidates will ideally bring experience from both early-stage companies and established organizations. They will know how to build with speed while also creating the processes, partnerships, and operating discipline needed to scale successfully within a larger enterprise.

The Senior Director of Engineering will build and lead the engineering organization responsible for defining, building, and delivering complex data and AI infrastructure software. This is a highly technical leadership role with direct accountability for engineering execution, product quality, and performance.

The leader will bring the technical depth to engage in architecture and critical design decisions, diagnose complex systems problems, and guide senior engineers, while also building a strong team and establishing clear ownership and predictable execution. They will work closely with principal architects, product management, and customer-facing teams.

The ideal candidate is a hands-on technical leader at heart and an effective organizational builder: equally comfortable debating technical trade-offs, with contemporary expertise in AI infrastructure hardware, software frameworks, AI Agent frameworks, protocols, and developing a high-performing engineering team.

Job Requirements

Proven record of designing and delivering sophisticated production software, with a strong foundation as a hands-on engineer, systems architect, or technical leader.
Deep technical knowledge of hardware-software co-design, distributed systems, performance engineering, and large-scale data processing.
Expertise in GPU computing and acceleration, including GPU architecture, parallel execution, memory and bandwidth trade-offs, profiling, and CUDA or comparable GPU software stacks.
Experience with AI model processing frameworks like PyTorch, TensorFlow.
Experience with modern data and AI ecosystems, including vector processing and search and graph technologies.
Familiarity with other AI accelerators like TPU, IPU, LPU, etc.
Track record of improving engineering delivery, software quality, operational reliability, and performance in complex products or platforms.
Ability to navigate tough architectural decisions and development choices, while delegating effectively and empowering strong engineers and managers.
Strong communication, integrity, urgency, and ownership; ability to thrive in a fast-moving, evolving organization.
Experience with storage/data platforms, AI infrastructure, or large-scale ML systems is a plus.
Experience in both an entrepreneurial engineering environment and a scaled enterprise organization is preferred.

What You'll Do

Own end-to-end engineering delivery, from design through implementation, testing, and production reliability.
Provide deep technical leadership, design reviews, and guidance on performance, scalability, security, and system tradeoffs, including accelerated computing where relevant; partner with senior architects to turn technical direction into robust products.
Translate product priorities and customer commitments into realistic engineering plans with clear owners, milestones, dependencies, quality gates, and measurable outcomes.
Build a disciplined execution culture with high engineering velocity, transparent progress, timely decisions, and accountability for commitments.
Recruit, coach, and retain exceptional engineers and engineering leaders; define team structures, clarify decision rights, develop successors, and raise the technical bar.
Balance near-term enterprise customer needs with maintainable architecture, technical debt reduction, platform investments, and sustainable innovation.
Partner with product management, architecture, Solution Architects, and customer-facing teams to validate requirements and convert field feedback into actionable engineering priorities.

Compensation:

The target salary range for this position is 266,050 - 396,000 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU’s), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process.

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Skills

Industrial software
Process data
PyTorch
TensorFlow
Communication skills
ML
Leadership

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