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Pipeline run

c0e0e8a8-8793-40c2-9d3a-17ddbccb6338

Pipeline LLM cost (USD)
API 1: $0.0041 API 2: $0.0000 API 3: $0.0000 Total: $0.0041

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
Nature of work
no_db_connection
Tech stack maturity
Mainstream Modern
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
0.50 / 5
· Title match
Has AI skill
· AI skill (primary)
AI skill (secondary)
· On AI team
· Builds AI products
vocab breakdown (legacy)
Assistants (×1):
Frameworks (×2):
Models / concepts (×3): Machine Learning
Evidence — skills matched in JD (18)
C C++ x86 ARM SSE AVX NEON Git AV1 H.265 H.264 MPEG-2 VP9 OpenCL CUDA Machine Learning Neural Networks Multithreading
Skill cluster (0 dimension groups, role-scoped)
No dimension groups computed for this JD.
Show KRA description ↓
The prospective candidate will be part of the Advanced Video and Research Team that designs and delivers video codec solutions for industry leaders in video technology. The key responsibilities of the job would be to deliver and excel on the following fronts (not limited to): • Development and implementation of optimized algorithms for video encoders, video decoders, video pre and post processing components on x86 and ARM based CPUs • Work involves implementation of high quality video encoders, decoders and transcoders and associated intellectual properties like Motion estimation, Rate Control algorithms, Scene Cut Detection, Fade-in / Fade-out Compensation, De-interlacing, De-noising as an example • Working on latest technology of Machine learning and Neural Network based video compression • Knowledge of C/C++ • Knowledge of x86 based development, intrinsic like SSE, AVX based coding • Knowledge of ARM based development, intrinsic like Neon coding • Debugging, profiling and development environments • Good knowledge of video standards like AV1 and H.265 • Working knowledge of H.264, MPEG-2 and VP9 is good to possess • Software Processes, Git, Configuration Management, Test Planning and Execution • Exposure to multi-threaded, cache optimal designs of video codecs • Exposure to OpenCL based GPU development / CUDA based programming • Aware of Machine learning and Neural Network basics.

Signals

Skill ml-engineer
0.11
Alias android-engineer
0.69
KRA

Post-classification

Centroid
Alias collision log
New-role queue#45
New skills captured0
New KRA captured
Status: extract_from_jd_done Created: 2026-05-20T13:06:06.954942Z Updated: 2026-05-20T13:06:07.752950Z
Flow Current 3-step pipeline

1 POST /skills/extract-from-jd

2 POST /skills/extract-details

3 POST /skills/final-role-output

Role Chosen role & resolution

No chosen role stored for this run.

Job description

Role : Video Codec Engineer 

Required Experience: Candidates must have development experience ranging from 2 to 4 years.
• Experience in implementing video compression standards based and/or proprietary Image and Video codecs/algorithms
• Must have exposure and development experience ARM and/or x86 based platforms like Xeon E5/E3, Core-i7/i5
• Experience of development using operating systems like Windows / Linux / OS X

Job Description: The prospective candidate will be part of the Advanced Video and Research Team that designs and delivers video codec solutions for industry leaders in video technology.

Responsibility: The key responsibilities of the job would be to deliver and excel on the following fronts (not limited to):
• Development and implementation of optimized algorithms for video encoders, video decoders, video pre and post processing components on x86 and ARM based CPUs
• Work involves implementation of high quality video encoders, decoders and transcoders and associated intellectual properties like Motion estimation, Rate Control algorithms, Scene Cut Detection, Fade-in / Fade-out Compensation, De-interlacing, De-noising as an example
• Working on latest technology of Machine learning and Neural Network based video compression

Educational Qualification: Masters or Bachelor’s Degree in Computer Science / Electronics and Communication

Required Technical Skills:
• Knowledge of C/C++
• Knowledge of x86 based development, intrinsic like SSE, AVX based coding
• Knowledge of ARM based development, intrinsic like Neon coding
• Debugging, profiling and development environments
• Good knowledge of video standards like AV1 and H.265
• Working knowledge of H.264, MPEG-2 and VP9 is good to possess
• Software Processes, Git, Configuration Management, Test Planning and Execution
• Exposure to multi-threaded, cache optimal designs of video codecs
• Exposure to OpenCL based GPU development / CUDA based programming
• Aware of Machine learning and Neural Network basics.

Location: Bengaluru, Karnataka

Skills from this JD

Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.

C Primary No API 2 row (run stopped after API 1 or history missing)
C++ Primary No API 2 row (run stopped after API 1 or history missing)
x86 Primary No API 2 row (run stopped after API 1 or history missing)
ARM Primary No API 2 row (run stopped after API 1 or history missing)
SSE Primary No API 2 row (run stopped after API 1 or history missing)
AVX Primary No API 2 row (run stopped after API 1 or history missing)
NEON Primary No API 2 row (run stopped after API 1 or history missing)
Git Primary No API 2 row (run stopped after API 1 or history missing)
AV1 Primary No API 2 row (run stopped after API 1 or history missing)
H.265 Primary No API 2 row (run stopped after API 1 or history missing)
H.264 Secondary No API 2 row (run stopped after API 1 or history missing)
MPEG-2 Secondary No API 2 row (run stopped after API 1 or history missing)
VP9 Secondary No API 2 row (run stopped after API 1 or history missing)
OpenCL Secondary No API 2 row (run stopped after API 1 or history missing)
CUDA Secondary No API 2 row (run stopped after API 1 or history missing)
Machine Learning Secondary No API 2 row (run stopped after API 1 or history missing)
Neural Networks Secondary No API 2 row (run stopped after API 1 or history missing)
Multithreading Secondary No API 2 row (run stopped after API 1 or history missing)

Library artifacts (this run)

No artifact rows for this run.
nano JD Parser — gpt-4.1-nano click to toggle
RoleVideo Codec Engineer
ExperienceCandidates must have development experience ranging from 2 to 4 years.
DomainOther
Location Bengaluru, India
JD type pass
Show raw JSON
{
  "JD_type": "pass",
  "about_company": null,
  "certifications": [],
  "company_name": null,
  "ctc": null,
  "domain": {
    "primary": {
      "aliases": [],
      "domain": "Other"
    },
    "secondary": null
  },
  "education": [
    {
      "level": "Bachelor\u0027s",
      "qualification": "BTECH/BE/MTECH/ME - Computer Science / Electronics and Communication",
      "raw": "Masters or Bachelor\u2019s Degree in Computer Science / Electronics and Communication",
      "requirement": "required"
    }
  ],
  "experience": {
    "max": 4,
    "min": 2,
    "raw": "Candidates must have development experience ranging from 2 to 4 years."
  },
  "job_locations": [
    {
      "aliases": [
        "Bangalore"
      ],
      "city": "Bengaluru",
      "country": "India",
      "state": "Karnataka",
      "work_mode": null
    }
  ],
  "role": "Video Codec Engineer",
  "role_aliases": [
    "Codec Engineer",
    "Video Engineer",
    "Software Engineer"
  ],
  "role_archetype": "Engineering",
  "roles_and_responsibilities": [
    {
      "bullet_count": 0,
      "heading": "Job Description",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "The prospective candidate will be",
        "last_5_words": "in video technology."
      },
      "text": "The prospective candidate will be part of the Advanced Video and Research Team that designs and delivers video codec solutions for industry leaders in video technology.",
      "word_count": 27
    },
    {
      "bullet_count": 3,
      "heading": "Responsibility",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "The key responsibilities of the",
        "last_5_words": "video compression"
      },
      "text": "The key responsibilities of the job would be to deliver and excel on the following fronts (not limited to):\n\u2022 Development and implementation of optimized algorithms for video encoders, video decoders, video pre and post processing components on x86 and ARM based CPUs\n\u2022 Work involves implementation of high quality video encoders, decoders and transcoders and associated intellectual properties like Motion estimation, Rate Control algorithms, Scene Cut Detection, Fade-in / Fade-out Compensation, De-interlacing, De-noising as an example\n\u2022 Working on latest technology of Machine learning and Neural Network based video compression",
      "word_count": 66
    },
    {
      "bullet_count": 10,
      "heading": "Required Technical Skills",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 Knowledge of C/C++\n\u2022 Knowledge of",
        "last_5_words": "and Neural Network basics."
      },
      "text": "\u2022 Knowledge of C/C++\n\u2022 Knowledge of x86 based development, intrinsic like SSE, AVX based coding\n\u2022 Knowledge of ARM based development, intrinsic like Neon coding\n\u2022 Debugging, profiling and development environments\n\u2022 Good knowledge of video standards like AV1 and H.265\n\u2022 Working knowledge of H.264, MPEG-2 and VP9 is good to possess\n\u2022 Software Processes, Git, Configuration Management, Test Planning and Execution\n\u2022 Exposure to multi-threaded, cache optimal designs of video codecs\n\u2022 Exposure to OpenCL based GPU development / CUDA based programming\n\u2022 Aware of Machine learning and Neural Network basics.",
      "word_count": 103
    }
  ],
  "urls": []
}
API 1 — extract-from-jd click to toggle
{
  "final_skills": [
    {
      "is_primary": true,
      "skill_name": "C"
    },
    {
      "is_primary": true,
      "skill_name": "C++"
    },
    {
      "is_primary": true,
      "skill_name": "x86"
    },
    {
      "is_primary": true,
      "skill_name": "ARM"
    },
    {
      "is_primary": true,
      "skill_name": "SSE"
    },
    {
      "is_primary": true,
      "skill_name": "AVX"
    },
    {
      "is_primary": true,
      "skill_name": "NEON"
    },
    {
      "is_primary": true,
      "skill_name": "Git"
    },
    {
      "is_primary": true,
      "skill_name": "AV1"
    },
    {
      "is_primary": true,
      "skill_name": "H.265"
    },
    {
      "is_primary": false,
      "skill_name": "H.264"
    },
    {
      "is_primary": false,
      "skill_name": "MPEG-2"
    },
    {
      "is_primary": false,
      "skill_name": "VP9"
    },
    {
      "is_primary": false,
      "skill_name": "OpenCL"
    },
    {
      "is_primary": false,
      "skill_name": "CUDA"
    },
    {
      "is_primary": false,
      "skill_name": "Machine Learning"
    },
    {
      "is_primary": false,
      "skill_name": "Neural Networks"
    },
    {
      "is_primary": false,
      "skill_name": "Multithreading"
    }
  ],
  "jd_role": {
    "display_name": "Video Codec Engineer",
    "rationale": null,
    "role_aliases": [
      "Codec Engineer",
      "Video Engineer",
      "Software Engineer"
    ],
    "role_archetype": "Engineering",
    "slug": ""
  },
  "nano_parsed": {
    "JD_type": "pass",
    "about_company": null,
    "certifications": [],
    "company_name": null,
    "ctc": null,
    "domain": {
      "primary": {
        "aliases": [],
        "domain": "Other"
      },
      "secondary": null
    },
    "education": [
      {
        "level": "Bachelor\u0027s",
        "qualification": "BTECH/BE/MTECH/ME - Computer Science / Electronics and Communication",
        "raw": "Masters or Bachelor\u2019s Degree in Computer Science / Electronics and Communication",
        "requirement": "required"
      }
    ],
    "experience": {
      "max": 4,
      "min": 2,
      "raw": "Candidates must have development experience ranging from 2 to 4 years."
    },
    "job_locations": [
      {
        "aliases": [
          "Bangalore"
        ],
        "city": "Bengaluru",
        "country": "India",
        "state": "Karnataka",
        "work_mode": null
      }
    ],
    "role": "Video Codec Engineer",
    "role_aliases": [
      "Codec Engineer",
      "Video Engineer",
      "Software Engineer"
    ],
    "role_archetype": "Engineering",
    "roles_and_responsibilities": [
      {
        "bullet_count": 0,
        "heading": "Job Description",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "The prospective candidate will be",
          "last_5_words": "in video technology."
        },
        "text": "The prospective candidate will be part of the Advanced Video and Research Team that designs and delivers video codec solutions for industry leaders in video technology.",
        "word_count": 27
      },
      {
        "bullet_count": 3,
        "heading": "Responsibility",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "The key responsibilities of the",
          "last_5_words": "video compression"
        },
        "text": "The key responsibilities of the job would be to deliver and excel on the following fronts (not limited to):\n\u2022 Development and implementation of optimized algorithms for video encoders, video decoders, video pre and post processing components on x86 and ARM based CPUs\n\u2022 Work involves implementation of high quality video encoders, decoders and transcoders and associated intellectual properties like Motion estimation, Rate Control algorithms, Scene Cut Detection, Fade-in / Fade-out Compensation, De-interlacing, De-noising as an example\n\u2022 Working on latest technology of Machine learning and Neural Network based video compression",
        "word_count": 66
      },
      {
        "bullet_count": 10,
        "heading": "Required Technical Skills",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "\u2022 Knowledge of C/C++\n\u2022 Knowledge of",
          "last_5_words": "and Neural Network basics."
        },
        "text": "\u2022 Knowledge of C/C++\n\u2022 Knowledge of x86 based development, intrinsic like SSE, AVX based coding\n\u2022 Knowledge of ARM based development, intrinsic like Neon coding\n\u2022 Debugging, profiling and development environments\n\u2022 Good knowledge of video standards like AV1 and H.265\n\u2022 Working knowledge of H.264, MPEG-2 and VP9 is good to possess\n\u2022 Software Processes, Git, Configuration Management, Test Planning and Execution\n\u2022 Exposure to multi-threaded, cache optimal designs of video codecs\n\u2022 Exposure to OpenCL based GPU development / CUDA based programming\n\u2022 Aware of Machine learning and Neural Network basics.",
        "word_count": 103
      }
    ],
    "urls": []
  },
  "rejected": false,
  "rejection_reason": null,
  "run_id": "c0e0e8a8-8793-40c2-9d3a-17ddbccb6338",
  "stage3_signals": {
    "alias_found": true,
    "alias_match_roles": [
      {
        "display_name": "Android Engineer",
        "matched_count": null,
        "role_id": 4,
        "score": 0.6923,
        "slug": "android-engineer",
        "total_count": null
      },
      {
        "display_name": "Backend Engineer",
        "matched_count": null,
        "role_id": 1,
        "score": 0.6923,
        "slug": "backend-engineer",
        "total_count": null
      },
      {
        "display_name": "AR/VR Engineer",
        "matched_count": null,
        "role_id": 8,
        "score": 0.5882,
        "slug": "ar-vr-engineer",
        "total_count": null
      },
      {
        "display_name": "ML Engineer",
        "matched_count": null,
        "role_id": 3,
        "score": 0.5294,
        "slug": "ml-engineer",
        "total_count": null
      },
      {
        "display_name": "Frontend Engineer",
        "matched_count": null,
        "role_id": 7,
        "score": 0.5,
        "slug": "frontend-engineer",
        "total_count": null
      }
    ],
    "kra_match_roles": [],
    "skill_match_roles": [
      {
        "display_name": "ML Engineer",
        "matched_count": 2,
        "role_id": 3,
        "score": 0.1111,
        "slug": "ml-engineer",
        "total_count": 18
      },
      {
        "display_name": "Backend Engineer",
        "matched_count": 2,
        "role_id": 1,
        "score": 0.1111,
        "slug": "backend-engineer",
        "total_count": 18
      },
      {
        "display_name": "ML Ops Engineer",
        "matched_count": 2,
        "role_id": 16,
        "score": 0.1111,
        "slug": "ml-ops-engineer",
        "total_count": 18
      },
      {
        "display_name": "Full Stack Engineer",
        "matched_count": 1,
        "role_id": 15,
        "score": 0.0556,
        "slug": "full-stack-engineer",
        "total_count": 18
      },
      {
        "display_name": "Hybrid Mobile Developer",
        "matched_count": 1,
        "role_id": 11,
        "score": 0.0556,
        "slug": "hybrid-mobile-developer",
        "total_count": 18
      }
    ]
  },
  "stage4_decision": {
    "alias_collision_detected": false,
    "case": "E",
    "chosen_role": null,
    "confidence": 0.0,
    "is_new_role": false,
    "llm2_fired": false,
    "llm2_reasoning": null,
    "new_role_display_name": null,
    "new_role_slug": null,
    "queued": true,
    "reasoning": "no_kra_signal: no KRA results"
  },
  "stage5_updates": {
    "centroid_n_after": null,
    "centroid_updated": false,
    "collision_log_id": null,
    "new_kra_attached": null,
    "new_skills_attached": [],
    "queue_entry_id": 45,
    "v3_pipeline_triggered": false,
    "v3_role_slug": null,
    "v3_run_id": null
  }
}
API 2 — extract-details
{}
API 3 — final-role-output
{}

LLM Calls

Every model call made for this run, in pipeline order. Click a card to see the model's response.

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