Jobs in the United States

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Overnight Engineer II
Marriott
Burlingame, CA
- $58.61 USD / hour
…Display solid knowledge and skill in the safe use of hand and power tools and other materials required to perform repair and maintenance tasks. Display basic ability to repair or replace…
Added 3 mins ago
Staff Engineer, YouTube Shorts Creation Editor, Android
Google
San Bruno, CA
Share Staff Engineer, YouTube Shorts Creation Editor, Android
Added 3 mins ago
Complex Facility Process Engineer
Chevron Corporation
Richmond, CA
Chevron is accepting online applications for the position Complex Facility Process Engineer through November 20, 2026 at 11:59 p.m. ( PST ).
Added 3 mins ago
Engineer Assistant
IMPERIAL IRRIGATION DISTRICT
El Centro, CA
Under general direction, performs professional engineering work related to the planning of district electrical power transmission and distribution stations. Performs other duties as…
Added 4 mins ago
Electrical Engineer, Amazon Leo Government, Amazon Leo Government
Amazon
Northridge, CA
The Electrical Engineer will focus on satellite and ground system design and analysis of electronic components, circuits, and sub-systems. They will be expected to execute a variety of…
Added 4 mins ago
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CNC Machinist, Omniseals Solution
Saint-Gobain
GARDEN GROVE, CA
- $23 to $42 USD / hour
…beyond the impossible. Within Mobility, our teams design and engineer critical, high-performance materials and proven solutions – most in challenging conditions and core systems that play…
Added 4 mins ago
Transmission Engineering Manager
Southern California Edison
Pomona, CA
As Transmission Engineering Manager, your work will help power our planet, reduce carbon emissions and create cleaner air for everyone. Are you ready to take on the challenge to help us…
Added 4 mins ago
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Circuit Design Engineer
Intel
Folsom, CA
- $105,650 to $149,150 USD / year
As a Circuit Design Engineer, you will play a pivotal role in designing and optimizing cutting-edge digital circuits for custom blocks such as SRAM, register files, memory compilers, and…
Added 4 mins ago
Applied Research Lead, AI for Teaching
Stanford University
Stanford, CA
…and validate models. You do not need to be a machine learning engineer, but you do need to be fluent enough to work directly with data and with partners’ engineering…
Added 4 mins ago
Sr Electrical Engineer, ALG, Amazon Leo Government
Amazon
NORTHRIDGE, CA · El Segundo, CA
The Sr Electrical Engineer will play a pivotal role in the team delivering innovative and fast-paced analysis and design solutions, focusing on satellite and ground system design and…
Added 4 mins ago
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Data Scientist V
TEKsystems
Menlo Park, CA
- $80 to $90 USD / hour
You will work closely with a Senior data engineer to turn the measurement strategy into scalable data models, dashboards, and reporting. The ideal candidate has a product analytics…
Added 4 mins ago
Software Engineer - Traffic Capacity & Performance
Meta
Menlo Park, CA
Software Engineer - Traffic Capacity & Performance Responsibilities:
Added 4 mins ago
Software Engineer - Traffic Efficiency
Meta
Menlo Park, CA
…connecting people to Meta's products. Edge sites face tight space, power, and hardware constraints, so efficiency directly creates usable capacity and reliability. At Meta's scale, even…
Added 4 mins ago
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Advanced Mfg Engineer Sr
Honeywell Aerospace
Torrance, CA
- $119,000 to $148,000 USD / year
As an Advanced Manufacturing Engineer Sr here at Honeywell Aerospace, you will play a pivotal role in optimizing and advancing our manufacturing processes to ensure high-quality production…
Added 4 mins ago
Advanced Mfg Engineer Sr Adv
Honeywell Aerospace
Torrance, CA
As an Advanced Manufacturing Engineer Senior Advanced here at Honeywell Aerospace, you will drive advanced manufacturing strategies, optimize processes, and implement cutting-edge…
Added 4 mins ago
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Systems Engineer II - Thermodynamics
Honeywell Aerospace
Torrance, CA
- $105,000 to $131,000 USD / year
…architecture, turbomachinery, heat exchangers (simplified wording), power electronics, or…
Added 4 mins ago
Senior Lead Software Engineer- AI/ML Training Infrastructure
JPMorgan Chase
Palo Alto, CA
As a Senior Lead Software Engineer at JPMorganChase within the Corporate Sector, Infrastructure Platforms team, you will play a critical role in designing, building, and operating secure,…
Added 4 mins ago
Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs
Amazon
Cupertino, CA
…training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by cutting edge software stack, the AWS Neuron Software Development Kit…
Added 4 mins ago
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Product RF Engineer
TEKsystems
Cupertino, CA
- $60 to $75 USD / hour
We are seeking a skilled RF Engineer to join our team in Cupertino. As part of our team, you will be responsible for executing RF characterization, conducting OTA antenna measurements,…
Added 5 mins ago
Senior Engineering Manager, YouTube, Recommendations ML
Google
Mountain View, CA
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical…
Added 5 mins ago
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Field Subcontracts Specialist Job Details | Black & Veatch Family of Companies
Black & Veatch
Irvine, CA
- $34 to $48 USD / hour
…real‑world, hands‑on experience. With a strong backlog across power, water, grid, and industrial markets, you’ll have the stability to grow and the opportunity to shape what comes…
Added 5 mins ago
SDE II EC2 Nitro, EC2 Nitro
Amazon
Santa Clara, CA
The EC2 Nitro local storage team is seeking an experienced Software Development Engineer to build virtualized, hardware-accelerated solutions for EC2 disk instances at global scale. Our…
Added 5 mins ago
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Deep Learning Hardware Engineer
Intel
Santa Clara, CA
- $149,750 to $240,710 USD / year
Intel's Client AI Architecture team is seeking an Deep Learning Hardware Engineer to help shape future generations of Intel's Neural Processing Unit (NPU) architecture for AI PCs, Edge AI,…
Added 5 mins ago
Silicon Product Engineer – Manufacturing
Nvidia
Santa Clara, CA
…team gets every GPU, SoC, and CPU silicon program from first power-on to high-volume…
Added 5 mins ago
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Application Engineer
Cadence Design Systems, Inc.
San Jose, CA
- $157,500 to $292,500 USD / year
Innovation & Enablement: Drive complex benchmarks, flow optimizations, and deployment of cutting-edge methodologies for Synthesis, P&R, STA, IR Drop, and power/timing closure.

Jobgether

Engineering Manager- Data Collection & Scanning

Remote, United States

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Job details

Experience: At least 3 years of experience in engineering management or technical team leadership, with demonstrated responsibility for managing and developing engineers.
Posting language: English

Original job description

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for an Engineering Manager – Data Collection & Scanning based in the United States.

This is an exciting opportunity to lead a multidisciplinary engineering team building large-scale systems that discover, scan, and collect data from across the Internet. As an Engineering Manager, you will oversee critical data collection infrastructure and distributed systems that power advanced Internet intelligence and cybersecurity solutions. You will combine technical leadership, people management, and strategic planning to improve data coverage, accuracy, freshness, reliability, and operational efficiency. Working closely with Product, Research, Security, and Infrastructure teams, you will translate complex challenges into actionable engineering roadmaps and measurable business outcomes. You will guide architectural decisions, develop talented engineers, and ensure that mission-critical systems operate reliably at scale. This role offers the opportunity to influence the evolution of sophisticated technologies while building a high-performing team in a collaborative, fast-paced environment.

Accountabilities:

Team Leadership and Development: Lead, mentor, and develop a multidisciplinary team of Scanner Engineers and Distributed Systems Engineers, establishing clear expectations for ownership, collaboration, technical quality, and delivery.
Provide regular feedback, establish individual growth plans, delegate meaningful responsibilities, and empower engineers to take ownership of systems, projects, and technical decisions.
Build and maintain a healthy, accountable engineering team by identifying staffing needs, supporting recruitment, maintaining high hiring standards, and improving onboarding and performance management.
Foster a collaborative culture in which engineers share responsibility for end-to-end system outcomes and continuously develop their technical capabilities.
Roadmap and Delivery Management: Define and own the Data Collection engineering roadmap in partnership with Product, Research, Infrastructure, and other engineering stakeholders.
Align engineering priorities with measurable improvements in data coverage, freshness, accuracy, reliability, scalability, and infrastructure cost efficiency.
Lead major technical initiatives from discovery and planning through implementation and production delivery, managing scope, dependencies, timelines, resources, and risks.
Ensure the team remains focused on high-impact priorities while balancing delivery speed, technical quality, operational requirements, and customer needs.
Translate research and exploratory initiatives into scalable, maintainable, production-ready capabilities where appropriate.
Communicate project progress, technical trade-offs, delivery risks, and expected outcomes clearly to stakeholders.
Technical and Operational Leadership: Guide architectural decisions across Internet scanning, scan orchestration, protocol implementations, distributed services, data ingestion pipelines, APIs, and operational tooling.
Establish engineering standards for system design, testing, deployment safety, observability, service ownership, and production readiness.
Maintain accountability for the quality, availability, scalability, maintainability, and cost efficiency of the team's infrastructure and systems.
Define and monitor operational performance indicators, including scan execution, pipeline health, data freshness, protocol coverage, failure rates, and resource consumption.
Improve observability, incident response, and sustainable on-call practices, ensuring that incidents are followed by meaningful investigations and long-term corrective actions.
Identify architectural bottlenecks and technical debt, evaluate their impact, and recommend strategic investments to improve system performance and reliability.
Collaborate with cross-functional teams to ensure engineering initiatives support broader product, research, security, and customer objectives.

Requirements:

At least 3 years of experience in engineering management or technical team leadership, with demonstrated responsibility for managing and developing engineers.
Previous professional experience as a software engineer or systems engineer, building and operating production-grade systems.
Proven ability to lead significant technical initiatives from initial planning through successful production implementation.
Strong understanding of distributed systems and networking fundamentals, including TCP/IP, DNS, HTTP, and TLS.
Experience designing, developing, or operating data-intensive systems such as streaming services, ingestion pipelines, message queues, databases, schedulers, and high-throughput APIs.
Hands-on experience managing critical production environments, including monitoring, incident response, capacity planning, troubleshooting, and reliability improvements.
Strong technical judgment and the ability to contribute to architecture discussions, evaluate implementation risks, and support complex incident investigations.
Demonstrated success coaching and developing engineers through constructive feedback, effective delegation, and clear performance expectations.
Ability to lead multidisciplinary teams with different technical specialties and encourage shared ownership of engineering outcomes.
Strong project management and organizational skills, with the ability to transform broad business objectives into clear priorities, roadmaps, milestones, and measurable results.
Excellent written and verbal communication skills, with the ability to collaborate effectively across technical and non-technical teams.
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Ability to balance competing priorities involving delivery timelines, technical quality, infrastructure costs, operational risks, and customer impact.
A proactive, adaptable, and accountable leadership approach, with the ability to establish clear direction while empowering engineers to make independent decisions.

Additional experience that would be an advantage:

Experience with Internet-scale scanning, network measurement, telemetry, security data, or distributed collection systems.
Familiarity with cloud infrastructure and platforms, particularly Google Cloud Platform (GCP) or comparable technologies.
Experience with streaming platforms and large-scale data storage technologies such as Google Pub/Sub, Apache Kafka, Bigtable, Spanner, or equivalent solutions.
Background in cybersecurity, Internet measurement, threat intelligence, security research, or transforming research projects into production systems.
Experience managing engineering teams responsible for high-volume data collection, processing, and real-time infrastructure.

Benefits:

Competitive annual salary:
US$174,000–US$218,000 for high-cost-of-living locations, including the San Francisco Bay Area, New York City, and Seattle.
US$151,000–US$191,000 for other eligible locations.
Final compensation depends on experience, qualifications, skills, and geographic location. Remote compensation may be adjusted according to the employee's location.
Performance incentives: Eligibility for an annual bonus plan.
Equity participation: Opportunity to receive equity as part of the overall compensation package.
Comprehensive healthcare: Health, dental, and vision insurance coverage.
Retirement benefits: Retirement savings plan with employer contributions.
Parental leave: Paid parental leave to support employees and their families.
Mental health and wellness: Access to mental health resources and wellness benefits.
Flexible paid time off: Flexible PTO to support personal needs and work-life balance.
Professional development: Dedicated professional development stipend to support continuous learning and career growth.
Remote working: Opportunity to work remotely within eligible locations across the continental United States.
Collaborative culture: Work alongside talented engineering professionals in an environment that values diverse perspectives, accountability, innovation, and continuous improvement.
Accessibility and inclusion: Reasonable accommodations are available throughout the recruitment process and employment.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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More about this job

Skills

Cybersecurity
Leadership
Team leadership
Strategic planning
Research
Performance management
Incident response
DNS
Troubleshooting
Coaching
Project management
Organizational skills
Communication skills
Computer science
Adaptability
Google Cloud
Data storage
Apache Kafka

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