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Remote Open Source Intelligence information

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$44.9K

$103.3K

$142.1K

How much do remote open source intelligence jobs pay per year?

As of Jun 12, 2026, the average yearly pay for remote open source intelligence in California is $103,273.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,800.00 and $116,900.00 per year, depending on experience, location, and employer.

What is a Remote Open Source Intelligence job?

A Remote Open Source Intelligence (OSINT) job involves gathering, analyzing, and interpreting publicly available information from various online sources to support investigations, security assessments, or business intelligence. OSINT professionals work remotely to collect data from websites, social media, forums, and public records, often using specialized tools and techniques. These roles are common in cybersecurity, law enforcement, corporate security, and competitive intelligence. Strong analytical skills, critical thinking, and knowledge of digital research methods are essential for success in this field.

What are the key skills and qualifications needed to thrive in the Remote Open Source Intelligence position, and why are they important?

To excel as a Remote Open Source Intelligence (OSINT) professional, you need strong analytical skills, expertise in research methodologies, and a background in intelligence or cybersecurity, often supported by relevant degrees or certifications such as GIAC Open Source Intelligence (GOSI) or similar. Familiarity with OSINT tools like Maltego, Shodan, and various data mining or visualization platforms is highly beneficial. Excellent written communication, critical thinking, and discretion are important soft skills for delivering clear and actionable reports in sensitive environments. These competencies ensure you can effectively collect, analyze, and communicate open-source information to support decision-making and mitigate risks in diverse organizational settings.

What are some common challenges faced by Remote Open Source Intelligence professionals?

Remote Open Source Intelligence professionals often encounter challenges such as verifying the credibility of vast amounts of publicly available information and staying updated on rapidly evolving online platforms and tools. They must develop effective strategies for filtering out misinformation and protecting their own digital footprints while working online. Additionally, collaborating with cross-functional teams and adapting to the specific intelligence needs of different clients or projects can be demanding but rewarding. Successfully managing these challenges is key to ensuring the intelligence provided is relevant, accurate, and actionable for organizational goals.

What are the most commonly searched types of Open Source Intelligence jobs in California? The most popular types of Open Source Intelligence jobs in California are:
What are popular job titles related to Remote Open Source Intelligence jobs in California? For Remote Open Source Intelligence jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Open Source Intelligence jobs in California look for? The top searched job categories for Remote Open Source Intelligence jobs in California are:
What cities in California are hiring for Remote Open Source Intelligence jobs? Cities in California with the most Remote Open Source Intelligence job openings:
Remote Open Source Intelligence jobs near you
Senior Engineer II, AI Inference Engine Systems

Senior Engineer II, AI Inference Engine Systems

DigitalOcean

San Francisco, CA • Remote

$167K - $209K/yr

Other

Posted 26 days ago

Job description

DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications. We are seeking a Senior Engineer II 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 remote role

JR: 2026-7591

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