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Symbolic Systems Jobs (NOW HIRING)

Amazon

Senior Applied Scientist, AWS Quick

Santa Clara, CA · On-site

$107K - $146K/yr

Own the end-to-end science lifecycle- from research and experimentation through production deployment - defining metrics to measure system performance and the real-world impact of neuro-symbolic ...

Amazon

Senior Applied Scientist, AWS Quick

Santa Clara, CA

$107K - $146K/yr

Own the end-to-end science lifecycle- from research and experimentation through production deployment - defining metrics to measure system performance and the real-world impact of neuro-symbolic ...

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How much do symbolic systems jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for symbolic systems in the United States is $32.69, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $38.22 per hour, depending on experience, location, and employer.

What is a Symbolic Systems job?

A Symbolic Systems job typically involves roles that integrate computer science, cognitive science, linguistics, philosophy, and psychology to analyze human and artificial intelligence. Professionals in this field work in areas like artificial intelligence, human-computer interaction, data science, and software development. They apply computational methods to solve problems related to language understanding, decision-making, and cognitive modeling. Many work in tech companies, research institutions, or startups, focusing on designing intelligent systems, improving user experience, or developing machine learning models.

What are the key skills and qualifications needed to thrive in the Symbolic Systems position, and why are they important?

To excel in a Symbolic Systems role, you need interdisciplinary expertise in computer science, cognitive science, psychology, and linguistics, often supported by a relevant bachelor's or master's degree. Familiarity with programming languages (like Python or Java), data analysis tools, and experience with systems modeling or AI frameworks are commonly required. Strong analytical thinking, problem-solving capabilities, and collaborative communication set candidates apart. These skills are vital for effectively designing and optimizing human-computer interactions, developing intelligent systems, and interpreting complex data in multidisciplinary environments.

What kinds of projects do Symbolic Systems professionals typically work on?

Symbolic Systems professionals frequently tackle projects that bridge technology and human cognition, such as designing intuitive user interfaces, developing AI-driven language models, or creating data visualization tools. Daily tasks often involve analyzing user behavior, modeling cognitive processes, and collaborating with engineers, designers, and researchers to refine interactive systems. The work environment is typically multidisciplinary, encouraging knowledge sharing and innovation across fields. Successfully navigating these projects requires adapting to new technologies and maintaining a holistic view of how humans interact with complex systems, making the role engaging and dynamic.

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Symbolic Systems jobs near you
Cyber Systems Exploitation Researcher

Cyber Systems Exploitation Researcher

MIT Lincoln Laboratory

Lexington, MA • On-site

Full-time

Posted 14 days ago

Job description

Job Summary:
MIT Lincoln Laboratory is a research and development center that focuses on advanced technology for national security. The Cyber System Exploitation Researcher will contribute to the development of cybersecurity tools and techniques, involving reverse engineering and exploiting software and hardware systems critical to U.S. government operations.
Responsibilities:
• contributing to the development of cyber security tools and techniques
• reverse engineering and exploiting software and hardware systems important to U.S. government operations and critical to the defense of our nation
• research in cyber tool prototyping and technical analysis of offensive or defensive cyber tools and systems
• automated vulnerability discovery
• reverse engineering
• software protection mechanisms
• static analysis
• dynamic instrumentation
• communicate research to non-domain experts through writing, public presentations, and hands-on training sessions
Qualifications:
Required:
• MS in Computer Science, Computer Engineering or related discipline or BS and 3+ years of directly related experience
• Selected candidate will be subject to a pre-employment background investigation and must be able to obtain a Secret level DoD security clearance.
• Additionally, must be eligible and willing to apply for a Top Secret SCI level DoD security clearance and be able to maintain this clearance level once obtained.
Preferred:
• Version Control Systems (Git)
• Dissassemblers/Decompilers (Ghidra, IDAPro)
• Debuggers (WinDbg, GDB)
• Programming Languages (C/C++, Python)
• Infrastructure/Container Provisioning/Orchestration Systems (Ansible, Kubernetes, Docker)
• Network Protocol Analysis (Wireshark, Tcpdump)
• Emulator/Virtualization Technologies (VMWare, QEMU)
• Operating System Internals
• Reverse Engineering of Embedded Systems Firmware, Malicious Code, Mobile Applications, and More
• Vulnerability Assessment
• Statistics and Metrics
• SAT/SMT Solvers
• Symbolic Execution
• Data-flow Analysis for Compiled Binaries
• Binary Intermediate Representations
• Binary Translation
• Compiler Construction
• Anti-debugging/Anti-instrumentation Techniques
• Network and Host Security Products
Company:
MIT Lincoln Laboratory is a federally funded research and development center chartered to apply advanced technology to problems of national security. Founded in 1951, the company is headquartered in Lexington, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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