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Base Engine Manager Jobs in Seattle, WA (NOW HIRING)

L3 Manager, Product Team Lead

Seattle, WA

$21 - $23.25/hr

Technical fundamentals in rocket engine propulsion, fluids, thermodynamics, heat transfer, and/or ... Base Pay Range for: CA applicants is $150,743.00 - $211,039.50 WA applicants is $150,743.00 - $211 ...

L4 Senior Manager, Product Team Lead

Seattle, WA · On-site

$144K - $190K/yr

S., MBA, or equivalent * 10+ years of liquid rocket engine combustion devices experience ... Base Pay Range for: CA applicants is $183,807.00 - $257,328.75 WA applicants is $183,807.00 - $257 ...

Growth Marketing Manager

Seattle, WA · On-site

$125K - $165K/yr

Strong expertise in Meta (Facebook/Instagram) and Google (SEM, YouTube) with a history of scaling ... Please note that the base pay shown is a guideline, and individual total compensation will vary ...

AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together ... Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined ...

Adoption Engine Development : Build and optimize customer adoption frameworks, playbooks, and self ... Compensation Base Salary Target: $120,000 - $165,000 This role is also eligible for additional ...

Growth Marketing Manager

Redmond, WA · On-site

$120K - $150K/yr

About the Role You are the demand engine behind how General Robotics reaches, engages, and converts ... Base Salary Range The anticipated base salary for this position is $120,000 - $150,000. Actual pay ...

... stage engine for our launch vehicle, Nova. As a Senior Engines Design Engineer, you will have ... Manage project schedules, risk, and budget Qualifications * Exceptional command of fundamentals

... partner base by building deep partner relationships, driving enablement, and executing joint ... This role is a core member of the go-to-market engine working closely with partner, marketing and ...

Showing results 21-40

Base Engine Manager information

See Seattle, WA salary details

$12

$24

$38

How much do base engine manager jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for base engine manager in Seattle, WA is $24.63, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $27.36 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a base engine manager, and why are they important?

A Base Engine Manager must possess a solid background in mechanical engineering, internal combustion engine design, and project management, often supported by an engineering degree and relevant industry experience. Familiarity with CAD software, engine simulation tools, and quality management systems is typically essential, along with certifications such as Six Sigma or PMP being advantageous. Strong leadership, effective communication, and problem-solving skills help coordinate cross-functional teams and drive project success. These abilities are crucial for delivering high-performance, compliant engine platforms that meet cost, reliability, and efficiency targets.

What are some typical challenges faced by a base engine manager, and how can they be addressed?

Base Engine Managers often encounter challenges such as balancing project deadlines with the need for technical innovation, managing cross-functional teams, and ensuring compliance with regulatory standards. Addressing these issues requires strong project management skills, effective communication with both engineering and non-engineering teams, and staying current with industry trends and regulations. Building a collaborative team environment and fostering open communication can help anticipate and mitigate potential roadblocks, ensuring project goals are met efficiently.

What is the difference between Base Engine Manager vs Mechanical Engineer?

AspectBase Engine ManagerMechanical Engineer
Required CredentialsBachelor's in Mechanical or Automotive Engineering, relevant certificationsBachelor's or Master's in Mechanical Engineering, professional licensure often preferred
Work EnvironmentAutomotive or aerospace manufacturing, R&D labs, production facilitiesDesign offices, manufacturing plants, research labs
Industry UsageAutomotive, aerospace, heavy machineryVarious industries including automotive, aerospace, manufacturing
Common Search/ComparisonBase Engine Manager vs Mechanical Engineer

The Base Engine Manager focuses on overseeing engine development, testing, and production processes, often requiring specialized knowledge of engine systems. Mechanical Engineers have a broader scope, working on various mechanical systems, including engines, but with less managerial responsibility. While both roles require engineering degrees and similar certifications, the Base Engine Manager typically holds a more specialized and leadership-oriented position within engine development teams.

What is a base engine manager?

A Base Engine Manager is a professional responsible for overseeing the design, development, and performance optimization of the core aspects of an engine, typically in the automotive or aerospace industry. Their role involves managing engineering teams, coordinating with other departments, and ensuring that the base engine meets performance, efficiency, and emissions standards. They also play a key part in troubleshooting technical issues and implementing improvements to the engine platform. The position requires strong technical knowledge, leadership skills, and experience in engine development projects.
What are popular job titles related to Base Engine Manager jobs in Seattle, WA? For Base Engine Manager jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Base Engine Manager jobs in Seattle, WA look for? The top searched job categories for Base Engine Manager jobs in Seattle, WA are:
Infographic showing various Base Engine Manager job openings in Seattle, WA as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $51,235 per year, or $24.6 per hour.

Senior Engineer II, Inference Engine - Serving Engine

DigitalOcean

Seattle, WA • On-site

$167K - $209K/yr

Full-time

Re-posted 20 days ago


Job description

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together-while learning, having fun, and making a profound difference for the dreamers and builders in the world.
DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications. We are seeking a Senior Engineer 2 to join our AI Inference Engine Systems team. In this role, you will be a key technical leader responsible for designing, developing, and delivering high-scale, resilient data plane services that power our "Inference as a Service" offering. You will work at the intersection of distributed systems and specialized AI hardware to ensure our customers can deploy and scale their models with industry-leading performance and reliability. This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents.
What You'll Do:
  • Technical Leadership: Act as a technical leader on the team, driving the end-to-end design, development, and delivery of critical data plane components hosting large generative AI models.
  • System Design: Architect and refine system design proposals for our high-scale, multi-tenant AI inference cloud ecosystem, ensuring they meet rigorous availability and resiliency standards.
  • Performance Optimization: Implement and optimize distributed inference hosting using techniques like tensor/data parallelism, KV cache optimizations, and smart routing.
  • Collaboration: Work cross-functionally with Product Managers, customer-facing teams, and other engineering teams to align technical roadmaps with customer needs.
  • Mentorship: Coach and mentor junior engineers, fostering a culture of technical excellence and continuous improvement.
  • Operational Excellence: Maintain and operate critical, high-scale services, utilizing observability tools and defining SLOs to ensure superior platform health.
What You'll Bring to DigitalOcean:
  • Distributed Systems Expertise: Strong experience with microservices, messaging systems, databases, and infrastructure as code.
  • AI/ML Domain Knowledge: Hands-on experience hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular.
  • Inference Frameworks: Familiarity with distributed inference serving frameworks such as llm-d, NVIDIA Dynamo, or Ray Serve.
  • Hardware & Interconnects: Understanding of GPU-level optimization and experience with interconnect technologies like NVlink, XGMI, or RoCE.
  • Architecture Proficiency: Knowledge of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
  • Software Engineering: Expert-level proficiency in GoLang or Python and familiarity with gRPC.
  • Cloud Operations: Proven experience shipping customer-facing software products and running critical services in a high-scale environment similar to DigitalOcean.
  • Open Source Mindset: Experience integrating and building with open-source software.
Compensation Range:
  • $167,200 - $209,000

*This is a hybrid role
JR: 2026-7591
#LI-Hybrid
Why You'll Like Working for DigitalOcean
  • We innovate with purpose. You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
  • We prioritize career development. At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
  • We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
  • We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
  • DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.