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Senior Detection Engineer Jobs in Bothell, WA (NOW HIRING)

Nvidia

Senior Software Engineer, AI Resiliency

Redmond, WA

$137K - $180K/yr

Work on AI system error handling, implementing techniques to detect silent data corruption (SDC ... Work closely with senior engineers, AI researchers, and hardware/software teams to integrate ...

Databricks

Senior Staff Software Engineer - IAM

Seattle, WA · On-site

$139K - $183K/yr

... threat detection to cancer drug development. We do this by building and running the world's best ... Our engineering teams build highly technical products that fulfill real, important needs in the ...

LVT

Senior Software Engineer II, Applied AI

Seattle, WA · On-site

$139K - $183K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

ABOUT THIS ROLE We are seeking a Senior Software Engineer, Applied AI to own end-to-end delivery of ... Detection-to-Response Harness : Build and own the logic that turns a detection into the right ...

LVT

Senior Software Engineer II, Applied AI

Seattle, WA · On-site

$139K - $183K/yr

ABOUT THIS ROLE We are seeking a Senior Software Engineer, Applied AI to own end-to-end delivery of ... Detection-to-Response Harness : Build and own the logic that turns a detection into the right ...

ExtraHop

Sr. Software Engineer, Framework

Seattle, WA · On-site

$139K - $183K/yr

... detection, visibility, and automation at scale. Responsibilities : • Design, develop, and ... senior and principal engineers. • Participate in on-call rotations and improve system ...

Paradigm

Senior Applied ML Engineer

Seattle, WA · Remote

$125K - $183K/yr

We are looking for a Senior Applied ML Engineer to be part of revolutionizing these industries. We ... Experience with computer vision (CNNs, object detection, segmentation) and natural language ...

Microsoft

Senior Software Engineer

Redmond, WA · On-site

$137K - $180K/yr

Lead platform capabilities for automated detection, triage, root-cause assistance, mitigation ... Experience mentoring senior engineers and defining technical strategy across monitoring ...

Russell Investments

Senior Cybersecurity Engineer

Seattle, WA · Hybrid

$140K - $160K/yr

  • Medical

  • Retirement

  • PTO

We are seeking a Senior Cybersecurity Engineer - IAM & Endpoint Security to lead the design and ... Partner with Cyber Operations to enhance detection, response, and control monitoring capabilities.

Microsoft

Senior Firmware Engineer

Redmond, WA · On-site

$160K - $261K/yr

We are seeking a Senior Firmware Engineer with deep expertise in platform firmware, hardware ... Develop diagnostic telemetry, health monitoring, fault-detection, automation, and triage tooling to ...

Databricks

Senior Staff Software Engineer - IAM

Seattle, WA · On-site

$139K - $183K/yr

They are seeking a Senior Staff Software Engineer to enhance their security infrastructure ... Detection & Response. • Experience building systems at large scale internet companies is a huge ...

ExtraHop

Sr. Software Engineer | Framework

Seattle, WA · On-site +1

$139K - $183K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Our team builds high-performance network detection and monitoring systems that operate at scale ... with senior and principal engineers. * Participate in on-call rotations and improve system ...

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Showing results 21-40

All JobsDetection Engineer JobsSenior Detection Engineer JobsSenior Detection Engineer Jobs in Bothell, WA

Senior Detection Engineer information

See Bothell, WA salary details

$66.5K

$141.5K

$205.1K

How much do senior detection engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for senior detection engineer in Bothell, WA is $141,476.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,800.00 and $160,400.00 per year, depending on experience, location, and employer.

What is the difference between Senior Detection Engineer vs Security Analyst?

AspectSenior Detection EngineerSecurity Analyst
Required CredentialsBachelor's in CS, Cybersecurity, or related; certifications like CISSP, GIACBachelor's in CS, Cybersecurity, or related; certifications like CompTIA Security+
Work EnvironmentDevelops detection tools, analyzes security data, creates detection rulesMonitors security alerts, investigates incidents, reports findings
Employer & Industry UsageTech companies, financial institutions, cybersecurity firmsIT departments, government agencies, large enterprises

While both roles focus on security, Senior Detection Engineers primarily develop and refine detection systems, whereas Security Analysts monitor and respond to security incidents. The Senior Detection Engineer role is more technical and development-oriented, while Security Analysts focus on incident response and analysis.

What are the key skills and qualifications needed to thrive as a senior detection engineer, and why are they important?

To excel as a Senior Detection Engineer, you need advanced knowledge of cybersecurity principles, threat detection methodologies, and experience with incident response, often supported by a degree in computer science or related certifications like CISSP or GIAC. Proficiency in SIEM platforms (such as Splunk or Sentinel), scripting languages (like Python), and EDR/XDR tools is typically required. Strong analytical thinking, problem-solving skills, and effective communication help you collaborate with teams and respond to evolving threats. These capabilities are crucial for proactively identifying and mitigating security risks to protect organizational assets.

What is a senior detection engineer?

A Senior Detection Engineer is a cybersecurity professional responsible for designing, implementing, and maintaining systems that detect threats and malicious activities within an organization's network. They create and refine detection rules, analyze security alerts, and work closely with incident response teams to mitigate risks. Senior Detection Engineers also lead efforts to improve detection capabilities by researching new attack techniques and developing advanced monitoring solutions. Their expertise helps organizations proactively defend against evolving cyber threats.

What are some common challenges a senior detection engineer faces when developing and tuning detection rules?

A Senior Detection Engineer often encounters challenges such as balancing detection accuracy with false positive rates, staying ahead of evolving threat landscapes, and ensuring detection rules adapt to new attack techniques. They must also collaborate closely with other security teams to understand operational impacts and validate the effectiveness of their rules in real-world scenarios. Regular communication, continuous learning, and iterative testing are crucial to overcoming these challenges and maintaining a robust security posture.

How much do detection engineers make?

Detection engineers typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and certifications. Senior detection engineers with specialized skills in cybersecurity tools and threat detection may earn higher salaries, often exceeding $150,000.
What are popular job titles related to Senior Detection Engineer jobs in Bothell, WA? For Senior Detection Engineer jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Senior Detection Engineer jobs in Bothell, WA look for? The top searched job categories for Senior Detection Engineer jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Senior Detection Engineer jobs? Cities near Bothell, WA with the most Senior Detection Engineer job openings:
Senior Detection Engineer jobs near you

Senior Software Engineer, AI Resiliency

Nvidia

Redmond, WA

$137K - $180K/yr

Full-time

Re-posted 26 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

We are now looking for a Senior Software Engineer for AI Resiliency!

At NVIDIA, we are pushing the boundaries of what's possible in AI. We are currently seeking a Senior Software Engineer to lead the development of AI software resiliency for the most powerful AI supercomputers in the world. As a member of our AI Software Resiliency team, you will play a pivotal role in defining and implementing critical resiliency features for AI supercomputers at a scale of 100,000+ GPUs. Your expertise will be crucial in driving down cluster downtime towards zero, ensuring that our AI systems remain robust and reliable at all times.

What You'll Be Doing:

  • Develop AI Software Resiliency Features: Implement and optimize software features that improve AI system reliability at a massive scale, such as fast checkpoint-recovery, error detection, error isolation, and straggler/hang detection.

  • Hands-On Coding & Optimization: Contribute to large-scale distributed systems with high-quality, production-level C++ and Python code. Enhance performance for AI workloads running on thousands of GPUs.

  • Fault Tolerance & Debugging: Work on AI system error handling, implementing techniques to detect silent data corruption (SDC) and other failure scenarios. Assist in developing monitoring tools for proactive failure mitigation.

  • Collaborate Across Teams: Work closely with senior engineers, AI researchers, and hardware/software teams to integrate resiliency features into AI frameworks like PyTorch and JAX/XLA.

  • Testing & Automation: Develop and implement tests to ensure robustness, scalability, and efficiency of resiliency mechanisms. Contribute to CI/CD pipelines to automate validation of AI workloads.

  • Support Production Deployments: Assist in debugging and performance tuning large-scale AI workloads in cloud and HPC environments, ensuring seamless operation of AI training and inference workloads.

What We Need to See:

  • You've achieved a Bachelor's, Master's or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent experience.

  • Proficiency in C++ and Python, with experience in writing efficient, high-performance code.

  • 6+ years of relevant experience

  • Strong understanding of distributed systems concepts, parallel programming, and fault tolerance in large-scale computing environments.

  • Familiarity with AI frameworks such as PyTorch, JAX/XLA, TensorFlow, or similar.

  • Experience with debugging and profiling tools (e.g., gdb, perf, valgrind, NVIDIA Nsight).

  • Excellent problem-solving skills and ability to work in a fast-paced, highly collaborative environment.

Ways to Stand Out From the Crowd:

  • Hands-on experience in training models or working with model training teams.

  • Hands-on experience with CUDA, NCCL, or MPI for GPU-accelerated computing, especially at extreme-scale.

  • Knowledge of checkpointing strategies, error mitigation, or fault-tolerant computing in AI training.

  • Experience working with large-scale AI clusters, HPC environments, or cloud-based AI workloads.

  • Strong systems programming skills and experience with low-level performance tuning.

As part of the AI Resiliency team at NVIDIA, you'll work alongside world-class engineers solving some of the hardest challenges in AI infrastructure. You'll have the opportunity to contribute directly to making AI training and inference more reliable, scalable, and efficient. If you're passionate about AI, distributed systems, and high-performance computing, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 16, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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