Pipeline run
16acd92d-b812-4173-abe8-c3b4feeae23b
Pipeline LLM cost (USD)
API 1: $0.0037
API 2: $0.0000
API 3: $0.0000
Total: $0.0037
Client output enrichment
v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA descriptionNature of work
· Video codec development
Build and optimize video codec software in C/C++ for x86 and ARM, including encoder/decoder/transcoder algorithms, SIMD intrinsics, debugging/profiling, and work on AV1/H.265 and ML-based compression.
"Development and implementation of optimized algorithms for video encoders, video decoders, video pre and post processing components on x86 and ARM based CPUs"
Tech stack maturity
Mainstream Legacy
The stack centers on low-level C with SIMD optimization on ARM/NEON and SSE, which is typical of established performance-critical codec engineering rather than cloud-native or bleeding-edge AI tooling.
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 (17)
C
C++
x86
SSE
AVX
ARM
NEON
Git
AV1
H.265
H.264
MPEG-2
VP9
OpenCL
CUDA
Machine Learning
Neural Networks
Skill cluster (5 dimension groups, role-scoped)
Codec Standards and Bitstreams
AV1
VP9
Hardware Acceleration and SIMD
SSE
NEON
Video Codec Languages and DSLs
C
C++
AI Governance and Model Security
Machine Learning
Cross-cutting / unaligned
x86
AVX
ARM
Git
H.265
H.264
MPEG-2
OpenCL
CUDA
Neural Networks
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
0.12
Alias
ar-vr-engineer
0.59
KRA
ml-engineer
0.31
Post-classification
Centroidupdated · n=1
Alias collision log—
New-role queue—
New skills captured12
New KRA capturedyes
Captured for admin review
x86
primary
↔
Video Codec Engineer
pending
SSE
primary
↔
Video Codec Engineer
pending
AVX
primary
↔
Video Codec Engineer
pending
NEON
primary
↔
Video Codec Engineer
pending
AV1
primary
↔
Video Codec Engineer
pending
H.265
primary
↔
Video Codec Engineer
pending
H.264
↔
Video Codec Engineer
pending
MPEG-2
↔
Video Codec Engineer
pending
VP9
↔
Video Codec Engineer
pending
OpenCL
↔
Video Codec Engineer
pending
CUDA
↔
Video Codec Engineer
pending
Neural Networks
↔
Video Codec Engineer
pending
R&R fragment (sim 0.00)
↔
Video Codec Engineer
pending
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 th…
v3 pipeline · Video Codec Engineer
approved
0 · charter
approved
2026-05-20T13:19:18.906416Z
12.2s
1 · anchor
approved
2026-05-20T13:19:32.698413Z
5.0s
2 · dim_gen
approved
2026-05-20T13:19:40.286204Z
37.4s
3 · reconciler
approved
2026-05-20T13:20:20.818401Z
141.5s
4 · typing
pending
—
—
5 · placement
pending
—
—
6 · containment
pending
—
—
7 · enrichment
pending
—
—
8 · catalog_load
approved
2026-05-20T14:30:32.907375Z
3.5s
Status:
extract_from_jd_done
Created: 2026-05-20T13:19:17.674699Z
Updated: 2026-05-20T13:19:20.835611Z
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
Case NEW
Will create new role: Video Codec Engineer
proposed slug: video-codec-engineer
✓ v3 pipeline fired automatically · run_id 5dd54028-9df8-4d57-98dc-180e88b0601e
Stage 1 title 'Video Codec Engineer' not in catalog; KRA inconclusive (0.31) and skill profile too weak to generalize (top_skill=0.12 < 0.20). Finalizing as new role 'Video Codec Engineer'; v3 enriches the catalog in the background for future runs.
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)
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)
ARM
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)
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",
"Video Compression 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": 64
},
{
"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": 104
}
],
"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": "SSE"
},
{
"is_primary": true,
"skill_name": "AVX"
},
{
"is_primary": true,
"skill_name": "ARM"
},
{
"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"
}
],
"jd_role": {
"display_name": "Video Codec Engineer",
"rationale": null,
"role_aliases": [
"Codec Engineer",
"Video Engineer",
"Video Compression 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": {
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},
"job_locations": [
{
"aliases": [
"Bangalore"
],
"city": "Bengaluru",
"country": "India",
"state": "Karnataka",
"work_mode": null
}
],
"role": "Video Codec Engineer",
"role_aliases": [
"Codec Engineer",
"Video Engineer",
"Video Compression Engineer"
],
"role_archetype": "Engineering",
"roles_and_responsibilities": [
{
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"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"
},
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"word_count": 64
},
{
"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": 104
}
],
"urls": []
},
"rejected": false,
"rejection_reason": null,
"run_id": "16acd92d-b812-4173-abe8-c3b4feeae23b",
"stage3_signals": {
"alias_found": true,
"alias_match_roles": [
{
"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": 0.5,
"slug": "ml-engineer",
"total_count": null
},
{
"display_name": "AI Engineer",
"matched_count": null,
"role_id": 13,
"score": 0.5,
"slug": "ai-engineer",
"total_count": null
},
{
"display_name": "Frontend Engineer",
"matched_count": null,
"role_id": 7,
"score": 0.5,
"slug": "frontend-engineer",
"total_count": null
},
{
"display_name": "Full Stack Engineer",
"matched_count": null,
"role_id": 15,
"score": 0.5,
"slug": "full-stack-engineer",
"total_count": null
}
],
"kra_match_roles": [
{
"display_name": "ML Engineer",
"matched_count": null,
"role_id": 3,
"score": 0.314,
"slug": "ml-engineer",
"total_count": null
},
{
"display_name": "DevOps Engineer",
"matched_count": null,
"role_id": 10,
"score": 0.3086,
"slug": "devops-engineer",
"total_count": null
},
{
"display_name": "Data Engineer",
"matched_count": null,
"role_id": 2,
"score": 0.3079,
"slug": "data-engineer",
"total_count": null
},
{
"display_name": "Hybrid Mobile Developer",
"matched_count": null,
"role_id": 11,
"score": 0.2872,
"slug": "hybrid-mobile-developer",
"total_count": null
},
{
"display_name": "Full Stack Engineer",
"matched_count": null,
"role_id": 15,
"score": 0.2785,
"slug": "full-stack-engineer",
"total_count": null
}
],
"skill_match_roles": [
{
"display_name": "ML Engineer",
"matched_count": 2,
"role_id": 3,
"score": 0.1176,
"slug": "ml-engineer",
"total_count": 17
},
{
"display_name": "ML Ops Engineer",
"matched_count": 2,
"role_id": 16,
"score": 0.1176,
"slug": "ml-ops-engineer",
"total_count": 17
},
{
"display_name": "Backend Engineer",
"matched_count": 1,
"role_id": 1,
"score": 0.0588,
"slug": "backend-engineer",
"total_count": 17
},
{
"display_name": "AI Engineer",
"matched_count": 1,
"role_id": 13,
"score": 0.0588,
"slug": "ai-engineer",
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},
{
"display_name": "Full Stack Engineer",
"matched_count": 1,
"role_id": 15,
"score": 0.0588,
"slug": "full-stack-engineer",
"total_count": 17
}
]
},
"stage4_decision": {
"alias_collision_detected": false,
"case": "NEW",
"chosen_role": {
"display_name": "Video Codec Engineer",
"matched_count": null,
"role_id": 22,
"score": 0.0,
"slug": "video-codec-engineer",
"total_count": null
},
"confidence": 0.0,
"is_new_role": true,
"llm2_fired": false,
"llm2_reasoning": null,
"new_role_display_name": "Video Codec Engineer",
"new_role_slug": "video-codec-engineer",
"queued": false,
"reasoning": "Stage 1 title \u0027Video Codec Engineer\u0027 not in catalog; KRA inconclusive (0.31) and skill profile too weak to generalize (top_skill=0.12 \u003c 0.20). Finalizing as new role \u0027Video Codec Engineer\u0027; v3 enriches the catalog in the background for future runs."
},
"stage5_updates": {
"centroid_n_after": 1,
"centroid_updated": true,
"collision_log_id": null,
"new_kra_attached": {
"best_kra_similarity": 0.0,
"queue_id": 56,
"r_and_r_preview": "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.\n\nThe key responsibilities of th",
"role_display_name": "Video Codec Engineer",
"role_slug": "video-codec-engineer",
"status": "pending"
},
"new_skills_attached": [
{
"is_primary": true,
"queue_id": 1568,
"role_display_name": "Video Codec Engineer",
"role_slug": "video-codec-engineer",
"skill_name": "x86",
"status": "pending"
},
{
"is_primary": true,
"queue_id": 1569,
"role_display_name": "Video Codec Engineer",
"role_slug": "video-codec-engineer",
"skill_name": "SSE",
"status": "pending"
},
{
"is_primary": true,
"queue_id": 1570,
"role_display_name": "Video Codec Engineer",
"role_slug": "video-codec-engineer",
"skill_name": "AVX",
"status": "pending"
},
{
"is_primary": true,
"queue_id": 1571,
"role_display_name": "Video Codec Engineer",
"role_slug": "video-codec-engineer",
"skill_name": "NEON",
"status": "pending"
},
{
"is_primary": true,
"queue_id": 1572,
"role_display_name": "Video Codec Engineer",
"role_slug": "video-codec-engineer",
"skill_name": "AV1",
"status": "pending"
},
{
"is_primary": true,
"queue_id": 1573,
"role_display_name": "Video Codec Engineer",
"role_slug": "video-codec-engineer",
"skill_name": "H.265",
"status": "pending"
},
{
"is_primary": false,
"queue_id": 1574,
"role_display_name": "Video Codec Engineer",
"role_slug": "video-codec-engineer",
"skill_name": "H.264",
"status": "pending"
},
{
"is_primary": false,
"queue_id": 1575,
"role_display_name": "Video Codec Engineer",
"role_slug": "video-codec-engineer",
"skill_name": "MPEG-2",
"status": "pending"
},
{
"is_primary": false,
"queue_id": 1576,
"role_display_name": "Video Codec Engineer",
"role_slug": "video-codec-engineer",
"skill_name": "VP9",
"status": "pending"
},
{
"is_primary": false,
"queue_id": 1577,
"role_display_name": "Video Codec Engineer",
"role_slug": "video-codec-engineer",
"skill_name": "OpenCL",
"status": "pending"
},
{
"is_primary": false,
"queue_id": 1578,
"role_display_name": "Video Codec Engineer",
"role_slug": "video-codec-engineer",
"skill_name": "CUDA",
"status": "pending"
},
{
"is_primary": false,
"queue_id": 1579,
"role_display_name": "Video Codec Engineer",
"role_slug": "video-codec-engineer",
"skill_name": "Neural Networks",
"status": "pending"
}
],
"queue_entry_id": null,
"v3_pipeline_triggered": true,
"v3_role_slug": "video-codec-engineer",
"v3_run_id": "5dd54028-9df8-4d57-98dc-180e88b0601e"
}
}
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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