Pipeline run
129e4c38-f7bf-469b-abb7-08eeba28fcb0
Client output enrichment
v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA descriptionvocab breakdown (legacy)
Signals
Post-classification
Captured for admin review
• Debug and Analyze the high power issues in APPS SW. • Find solutions to system level power and resource management problems. • Influence the hardware design to improve power consumption or simplify …
1 POST /skills/extract-from-jd
2 POST /skills/extract-details
3 POST /skills/final-role-output
Performance Engineer
domain · Software Engineering CASE DOMAINslug: performance-engineer · id: 33 · source: db
Domain=Software Engineering; The role is centered on analyzing and improving power, performance, and thermal behavior, which best matches a Performance Engineer rather than a general software or embedded role.
Matched skills
Matched dimensions
Matched KRAs
Resolution:
in_db
— role exists in library; skill↔dim and role↔dim links saved when applicable.
Job description
Company Qualcomm India Private Limited Job Area Engineering Group, Engineering Group > Software Engineering General Summary Job Overview: Qualcomm Snapdragon SOC’s long battery life is built on industry leading power management architectures. As a member of the APPS Power Optimization Team you will contribute to the optimization of power consumed of various test cases for upcoming Snapdragon SoCs designed for mobile, IoT, Wear, AR/VR and modem products. You will work with engineers across a range of disciplines (e.g. hardware, software and systems) and technologies (e.g. advanced CPUs, Hexagon DSPs, Adreno GPUs, IoT, AR/VR, ML/AI, Wireless LAN, GPS, low power audio, and low power sensors). Job Responsibilities • Debug and Analyze the high power issues in APPS SW. • Find solutions to system level power and resource management problems. • Influence the hardware design to improve power consumption or simplify the power. • Conduct hands-on performance, power, and/or thermal studies to help optimize the SW power; • Effectively communicate experimental results, review with technical leads and peers, analyze outstanding issues; • Work with software teams, who implement modules that are clients of the power and resource management software, to gather requirements and provide guidance. • Work with software teams to identify and fix performance bottlenecks that increase power consumption. • Design tools to identify and debug power consumption issues on development platforms and commercial devices • Invent and file patents on technical solutions to relevant problems; Minimum Qualifications • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. • 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Preferred Qualification • 1 to 3 yrs experience in embedded software development and preferably on mobile or IoT devices • Experience in programming with at least one programming language like C, C++, Java, Python, etc. • Ability to approach problems at a system level - One or more of the following: - Device driver or board support package (BSP) knowledge or development experience - Experience with Linux - Understanding of ARM processor architectures - Experience with power optimization • Excellent communication and presentation skills • Experience in using debug tools like JTAG debugger, oscilloscopes, logic analyzers • Excellent problem solving skills. Applicants: If you need an accommodation, during the application/hiring process, you may request an accommodation by sending email to accommodationsupport Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace. Qualcomm is an equal opportunity employer and supports workforce diversity. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3055158
Skills from this JD
Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Concepts
- Sub-category
- general
- Skill nature
- CONCEPT
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Concepts
- Sub-category
- general
- Skill nature
- CONCEPT
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Concepts
- Sub-category
- general
- Skill nature
- CONCEPT
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Concepts
- Sub-category
- general
- Skill nature
- CONCEPT
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Platforms
- Sub-category
- general
- Skill nature
- PLATFORM
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Concepts
- Sub-category
- general
- Skill nature
- CONCEPT
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Library artifacts (this run)
| Kind | Detail | DB id |
|---|---|---|
| canonical_skill_proposed | performance | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR | |
| canonical_skill_proposed | power management | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR | |
| canonical_skill_proposed | resource management | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR | |
| canonical_skill_proposed | thermal studies | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR | |
| canonical_skill_proposed | development platforms | type=Platforms subtype=general nature=PLATFORM lifespan=MULTI_YEAR | |
| canonical_skill_proposed | commercial devices | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR |
nano JD Parser — gpt-4.1-nano click to toggle
Show raw JSON
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API 1 — extract-from-jd click to toggle
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}
API 2 — extract-details
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"new_skill_meta": {
"derived": {
"category": "Platforms",
"skill_nature": "PLATFORM",
"sub_category": "general",
"typical_lifespan": "MULTI_YEAR",
"version_strategy": "UNVERSIONED",
"volatility": "MEDIUM"
},
"enrichment": null,
"keep_log": [],
"locked_dimensions": [],
"merge_log": [],
"placed": null,
"relationships": null,
"skill_id": "development-platforms",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
},
{
"aliases_in_db": [],
"canonical": null,
"dimensions": [],
"input_skill": "commercial devices",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Concepts",
"skill_nature": "CONCEPT",
"sub_category": "general",
"typical_lifespan": "MULTI_YEAR",
"version_strategy": "UNVERSIONED",
"volatility": "MEDIUM"
},
"enrichment": null,
"keep_log": [],
"locked_dimensions": [],
"merge_log": [],
"placed": null,
"relationships": null,
"skill_id": "commercial-devices",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
}
],
"unmatched_skills": [
"performance",
"power management",
"resource management",
"thermal studies",
"development platforms",
"commercial devices"
]
}
API 3 — final-role-output
{
"chosen_role": {
"display_name": "Performance Engineer",
"id": 33,
"rationale": "Domain=Software Engineering; The role is centered on analyzing and improving power, performance, and thermal behavior, which best matches a Performance Engineer rather than a general software or embedded role.",
"role_archetype": null,
"slug": "performance-engineer",
"source": "db"
},
"chosen_role_resolution": "in_db",
"final_input_skills": [
{
"skill": "performance",
"tag": "new"
},
{
"skill": "power management",
"tag": "new"
},
{
"skill": "resource management",
"tag": "new"
},
{
"skill": "thermal studies",
"tag": "new"
},
{
"skill": "development platforms",
"tag": "new"
},
{
"skill": "commercial devices",
"tag": "new"
}
],
"llm_cost_api1_usd": null,
"llm_cost_api2_usd": null,
"llm_cost_api3_usd": null,
"llm_cost_total_usd": null,
"persistence": {
"items": [],
"new_skills_created": 0,
"role_dimension_saved": 0,
"skill_dimension_saved": 0,
"skipped": 0
},
"planner_output": null,
"run_id": "129e4c38-f7bf-469b-abb7-08eeba28fcb0"
}