The Research Engineer will develop automated security analysis solutions for mobile applications and conduct research to identify security issues.
Quokka is an enterprise mobile security company, providing security and privacy solutions for mobile apps and devices used by millions globally. We envision a world where every mobile app and device is free from any exploitable issues before they are in the hands of end users. To realize that vision, we’re on a mission to discover and deliver actionable mobile security intelligence that enables proactive remediation of zero-day vulnerabilities and exploits. Organizations with the highest security standards trust our insights and technology, and we’ve worked with the US Federal Government since 2011. We’re growing our team to bring our defense-grade, privacy-first mobile endpoint protection and Mobile App Security Testing (MAST) solutions to millions more.
We seek a Research Engineer to assist with designing and developing automated security analysis solutions for Android and iOS. In this role, you will be expected to conduct novel research and develop cutting-edge technologies to automatically analyze and detect security issues in mobile platforms and binaries.
We’re a distributed team with offices in Silicon Valley and the Washington DC Metro Area, and every member of our lean team is working to protect the global mobile ecosystem. Join us if you’re excited about making an impact in a high-growth space!
What you will do in this role:
- Research and develop novel solutions for identifying security and privacy issues in mobile apps and platforms.
- Develop automated static/dynamic program analysis engines.
- Research and systemize emerging trends in the mobile application security landscape.
To be successful, we need someone in this role who has:
- Degree in Computer Science, Computer Engineering, Mathematics, or equivalent hands-on experience directly related to the duties and responsibilities specified.
- Hands-on experience developing automated static/dynamic code analysis tools.
- Familiarity with at least two of the following areas of program analysis: static analysis, dynamic instrumentation, type inference, taint analysis, and symbolic execution.
- Familiarity with common program analysis tools and frameworks (e.g., Soot, WALA, Angr, Dyninst).
- Experience in some of the following: Java, Python, C/C++, Objective-C.
Additional skills:
- Experience working with iOS/macOS/Android internals or arm/x86.
- macOS/iOS/Android/arm/x86 reverse engineering skills.
- Experience working with stakeholders of projects to understand and drive feature requirements.
Diversity, Equity & Inclusion at Quokka
At Quokka, we recognize that innovation occurs with a strong team of people who are diverse in background, personality, talent and ideas. Experience comes in many forms and ensuring a diverse and inclusive workplace where we continue to learn from each other is an integral part of our culture.
Quokka is committed to maintaining a diverse workforce, and we are proud to be an equal opportunity employer regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other legally protected characteristics.
Similar Jobs
Artificial Intelligence • Blockchain • Professional Services • Security • Consulting • Cybersecurity • Defense
Conduct red-team assessments of formally verified systems, evaluating proofs, specifications, threat models, and trusted computing bases. Build AI-driven vulnerability discovery, triage, and exploit-generation tooling; identify and demonstrate exploitable weaknesses in software and infrastructure. Produce rigorous security reports, publish methodologies, collaborate with domain experts and third parties, and deliver engagements on fixed schedules.
Top Skills:
ButtercupC++DafnyF*FuzzingLeanPythonRocqRustSmtSymbolic ExecutionVerus
Artificial Intelligence • Information Technology • Professional Services • Consulting
Conduct research on frontier AI systems, including synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarking, and evaluation. Design rigorous experiments, datasets, prototypes, tooling, and research workflows; train and assess models; analyze results; and translate findings into scalable AI products. Collaborate across research, engineering, product, and operations teams, communicate technical conclusions, contribute to publications or open-source work, and mentor engineers and researchers.
Top Skills:
Agentic SystemsAi BenchmarksAi EvaluationArtificial IntelligenceMachine LearningPythonReinforcement LearningSynthetic Data Generation
Sales • Software • Design
Build and deploy spatial AI capabilities for generative home floor plans. Responsibilities include training and adapting ML models, creating APIs and evaluation pipelines, improving reproducibility, managing latency and cost, extending research into product features, partnering on MLOps and deployment, and mentoring engineers and researchers.
Top Skills:
AWSBimCadFastapiGrasshopperHugging FaceKerasMlopsModalOr-Tools Cp-SatPythonPyTorchRevitRhinoTensorFlow
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
